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On Tuesday, Mikko Koivu abruptly retired because he wasn't playing up to his expectations. What's next? Oh, Tortorella is in the final year of his contract with no extension in place. Once you got close to Terez, you learned all the things that attracted people from afar were real. He was kind. He was caring. Couture also had a goal for the third straight game. Timo Meier scored and Martin Jones made 24 saves for the Sharks.

Dustin Brown had two goals and an assist for the Kings, who lost their fifth straight. Anze Kopitar also scored and Cal Petersen stopped 37 shots. Kane jammed in a rebound at of the third period to tie it 3-all. Couture converted his attempt in the shootout and Jones saved two shots sandwiched around Kings forward Lias Andersson hitting the post.

The year-old Marleau is 23 games behind Mark Messier in second place with 1, career games. Kopitar got the Kings back in it seven minutes into the second by scoring on a breakaway, and Brown tied it on the power play at San Jose needed just to score the opening goal, hemming Los Angeles in its own end before Meier cut across the crease to fake out Petersen and bury a backhand into an open net.

The Kings have allowed the opponent to score first in 10 of their 12 games, tied with Ottawa for most in the league. The Sharks made it at when Couture scored on a one-timer from a sharp angle during a delayed penalty. Kings defenceman Drew Doughty did not return because of an apparent right arm injury sustained blocking a shot by Brent Burns in the third.

Four of those wins have come against the Predators in the last 11 days. Rocco Grimaldi had the lone goal for Nashville, which has lost five of six. Juuse Saros made 24 saves. Palat followed with a power-play goal at and Joseph, celebrating his 24th birthday, concluded the scoring in the opening period at Vasilevskiy, rested Monday for the first time since last March, looked sharp in the second game of the back-to-back set between the teams.

Curtis McElhinney made his first appearance Monday in 11 months and backstopped the Lightning to a victory over the Predators. Gourde made it at of the third, scoring off the rebound of Mikhail Sergachev's shot. Stamkos and Joseph later converted both ends of a double-minor high-sticking call on Predators defenceman Ryan Ellis. Sergachev also had three assists for the Lightning. He has four in his last two games. Tampa Bay's captain has 10 points six goals, four assists in his last six games against Nashville.

Including an empty-net goal Monday night, Stamkos has scored in all four games versus the Predators this season. Nick Cousins and Erik Haula came out of the Predators' lineup. Mattias Janmark also scored for Chicago, which is in its last 11 games. Roope Hintz scored for Dallas, which is in its past three. In a matchup of rookie goaltenders, Kevin Lankinen made 34 saves for the Blackhawks, and Oettinger stopped 27 shots. It was the fourth game between the teams in 10 days.

Edmonton won the first three — and in Edmonton and Monday at the Canadian Tire Centre. They will meet five more times in the regular season. Connor Brown and Evgenii Dadonov scored for Ottawa. Ottawa replaced goaltender Marcus Hogberg with Matt Murray at of the second period after the Oilers went up Hogberg stopped 10 of 13 shots. Bobrovsky improved to this season. Alex Wennberg also scored for the Panthers. Filip Zadina scored for the Red Wings.

Thomas Greiss stopped 20 shots in his eighth straight appearance. The Panthers are over their last 12 games against Detroit. The Red Wings have lost nine of Golden State ended a five-game losing streak in San Antonio. The International Livestock Research Institute ILRI works to improve food and nutritional security and reduce poverty in developing countries through research for efficient, safe and sustainable use of livestock.

It is the only one of 15 CGIAR research centers dedicated entirely to animal agriculture research for the developing world. Job Purpose: The job holder will facilitate and manage the forage germplasm conservation, regeneration, seed production and field trialling activities at four field sites Addis Ababa, Debre Zeit, Zwai and Soddo geographically dispersed across Ethiopia.

The specific duties include:. Terms of appointment:. The ILRI remuneration package for nationally recruited staff in Ethiopia includes very competitive salary and benefits such as life and medical insurance, offshore pension plan, etc.

Dining and sports facilities are located on site. General: The International Livestock Research Institute ILRI works to improve food and nutritional security and reduce poverty in developing countries through research for efficient, safe and sustainable use of livestock.

Having professional qualification in project management would be advantageous; Experience with computer packages word processing, spreadsheet, graphics and data management and use of data analysis software e.

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Throughout the course, we will try to emphasize real-world cases. The students will be asked to select a topic in order to develop a group assignment in teams of 4 or 5. The teams will have regular meetings with the professor in order to verify their progress.

At the end of the course, each team will give a brief presentation about the topic it selected. We start by studying the patterns of trade distinguishing between inter-industry and intra-industry trade flows. We then proceed to an in-depth analysis of the causes and the effects of those flows based on the concepts of absolute and comparative advantage, relative factor abundance and relative factor intensity, increasing returns to scale and imperfect competition.

Finally, we will explore the effects of trade on economic growth and wage inequality, discuss the role of multinational corporations and foreign direct investment, and analyze countries motives for regulating international trade. Topics: Trade patterns; Ricardian model; Specific- Factors model; Heckscher-Ohlin model; trade and inequality; increasing returns; firms in the global economy; FDI, outsourcing, and product fragmentation; industrial and trade policy. Teaching method: Lectures, articles, and in-class exercises.

The goals of this course are to: 1 Improve the understanding of some of the major issues that societies with different institutional backgrounds are faced with, in relation to the design and financing of health care systems. By the end of the course, students should be able to: - Apply theories to practical healthcare policy situations. Targeted audience: - MSc students interested in the health care sector health insurance, drug companies, public health policy, hospital administration, international organizations etc.

Teaching method: Readings, class participation, class presentations. It has been successfully applied in economics, finance, political science, law, and biology. Today, game theory is a crucial instrument in the toolbox of anyone interested in multi-person interactions taking place in markets, firms, and other institutions. Topics: - Definition of Game, Prisoner s Dilemma - Iterated deletion of dominated strategies - Nash equilibrium in pure strategies - Nash equilibrium in mixed strategies - Uncertainty and Bayesian games - Auctions - Adverse selection and Signaling - Sequential games: Theory - Sequential games: Bargaining and negotiations While covering these subjects, we will discuss various applications from economics and other social sciences.

Teaching method: Students are responsible for attending the lectures, participating in classroom discussions, turning in the assignments, and reading the assigned documents. Dixit and Barry J. The course is not a finance course, nor a strategy course, nor a marketing course but it allows the students to draw on their competencies within these areas. Students can also expect to appreciate the concept of globalization and the interaction of business activities with various national and international environments stretching back to the ancient period.

Teaching method: The approach is mainly thematic through industry and case studies. It focuses on the role played by entrepreneurs and managers in their historical context. Students will work on many real case studies. They are expected to prepare the cases and read the articles that are indicated, and to actively participate in class The three hours in-class final quiz will comprise a MCQ and one or two case studies.

The first is to become familiar with the world of finance: its language, its institutions, the problems it raises and the solutions it proposes. The second is to acquire the theoretical foundations of finance by mastering the decision-making models studied and understanding their limitations. The third is to gain the practical and institutional knowledge that will help to launch their careers. The Finance Department considers the theoretical content of its courses fundamental, because theory is the best means to a better understanding of real phenomena and quality decision-making.

The department s research professors provide broad expertise in key areas of finance. The adjunct lecturers occupy high-level positions in business and teach courses related to their areas of professional expertise. It does not give any credit. Poncet, A. Roncoroni P.

Exchange students should check that they have the required level in mathematics and finance before taking this course. The purpose of this course is to introduce students to the main building blocks of financial theory. The two main objectives are: i To acquire an in-depth knowledge of the core corporate finance and financial market theories; ii To be able to identify the right model in order to analyze corporate and investors decisions.

In addition, students should be able to demonstrate their ability to use the technical tools and confront their knowledge with real life situations in order to deliver recommendations on fundamental issues such as the firm's investment and financing decisions. Topics: Topics covered include a refresher on interest rates, discounting and capital budgeting investment decisions under certainty, absence of arbitrage and financial assets valuation, risk and portfolio analysis mean-variance model , the capital asset pricing model CAPM and market efficiency, introduction to options, capital structure theory, valuation and leverage and an introduction to market imperfections e.

Teaching method: Lectures and problem sets. A teaching assistant will conduct 4 sessions dedicated to solving exercises. The final exam F is common to all sections. At the end of the course, students should: be able to formulate a firm s financial needs, formulate a matching financial policy, and suggest ways to implement it; understand the theories behind firms capital structure choices and their interaction with firm value, as well as their relation with the broad capital market trends, players and institutions; learn how derivative securities can help firms achieve their financial policy goals.

Topics: Introduction to financial management. Financial planning, sustainable growth. Modigliani-Miller propositions and debt tax shields. Trade-off theory and bankruptcy costs. Advanced capital structure theory: personal taxes, agency theory, shareholder-bondholder conflicts. Equity issuance, initial public offers, secondary equity offers, rights issues, costs of equity issuance. Shareholdermanager conflicts. Dividend policy. Binomial pricing of options. Equity and debt as options. Teaching method: Lectures supplemented by case studies The grade for the cases C is equal to the arithmetic mean of the grades of the cases.

The participation grade P can take FIN. The objective is to present the different methods used to estimate the value of a firm and the problems arising in valuing specific assets such as intangibles. In addition, we discuss issues such as the treatment of minority interests, pension funds and leasing.

Topics: - Cash flows to equity-holders and the firm - Cost of equity and cost of capital - Impact of capital structure on the cost of equity, cost of capital and firm value - Adjusted present value APV vs. Discounted Cash Flows DCF - Valuation with multiples market and transacitons - Valuation of intangible assets - Treatment of minority interests, pension funds, leasing, etc. Both are done by groups of 4 students. Merger analysis. Valuation using DCF models.

Valuation using multiples. Further topics on valuation: multi-divisional businesses, privately-held firms. Illiquidity and minority discounts. Theories of merger activity. The holdout problem. Deal negotiation.

Takeover defenses. Structuring the deal. Leveraged Buyouts LBOs. Teaching method: Lectures supplemented by case studies. The grade for the cases C is equal to the arithmetic mean of the grades of the 4 cases. Le travail remis fait l objet de recommandations et de directions. Valuation: multi-divisional businesses, privatelyheld firms.

Deal negotiation tactics. The cases and the final exam will be graded according to the rule described below. The grade for the cases C is equal to the arithmetic mean of the grades of the cases. Consolidations main points are also presented. Following a strategic review of a company business, participants will understand the key financial ratios, and how to establish a ready to use dashboard. The key indicators FIN. The main valuation techniques will be studied including, asset valuation, multiples, and the Discounted cash Flow.

Students will have to build up a financial and valuation model and establish a credible dashboard on a selected company. Teaching method: The class will be based on real and recent case studies, allowing students to establish useful links between the class and the current economic and financial environment. Readings: The class teaches the main steps to establish a credible and reliable Financial Analysis.

The key indicators related to the business, operating cycle, debt leverage, and share price will be presented. De plus, il sert de point d appui aux autres cours de finance. The objective is to provide the elementary tools in financial management. In addition, it represents the starting point for those students interested in taking more advanced courses in the field. At the end of the course, students should be able to: be knowledgeable about the universe of Finance its language, its institutions, the problems it addresses and the solutions it proposes ; extract information from a company s financial statements and use them to make informed financial decisions; perform basic valuation.

Topics: What Finance is about. Time value of money. Basic Financial Mathematics. From accounting statements to cash-flow. Sources and uses of funds. Working capital management. Capital Budgeting decisions. Bond and stock valuation. Basic concepts in capital structure. Teaching method: Lectures supplemented by in-class exercises.

Grades are calculated as follows: Denote by M the mid-term grade and by E the final exam grade. Examples: spotforward prices and parity, position metrics, risk metrics. Examples: security pricing, problem solving, exploiting basic trading opportunities. Examples: futures portfolios, structured packages, custom hedges. As an additional key feature, we propose to surf over the frontier of knowledge by attending webinars held at the Energy and Commodity Finance Research Center Our ultimate goal is to prepare the course participant to effectively tackle recruiting interviews for job positions in a large variety of market segments, ranging from financial product origination at major financial institutions, to financial risk management at mid and large size corporations acting in the domain of commercial and industrial transformation processes, passing through raw material and commoditized service providers and retailers.

Topics: Commodity prices: what is a commodity? Commodity spot, forward, and futures prices, spot-forward price parities. Position keeping: energy and commodity trading, position metrics, case-studies on gas position and coal portfolio. Risk metrics: corporate risk measurement, monetary measures of risk, case-study on FloVaR analysis of energy portfolios.

Structuring derivatives packages: load deal, swap, cracking hedge, quanto, spread, collar, 3-way, by-down, slippage, rebate, structured commodity-linked products, TRS and CCO. Risk hedging: optimal hedge ratios, basis risk management, optimal custom hedges, security design. Examples of price and hedge calculation, insurance design, consumer hedge, producer hedge, retailer hedge construction.

Teaching method: Course lectures introduce to key concepts and current practices in the domain of concern. A third of the course is entirely devoted to training through exercises, case-studies, and applications. References: [R] Roncoroni, A. Risk Publications, London. Examples: macroeconomic and microeconomic grounds, market trading and manipulation. Examples: metals, conventional energy sources, commoditized services.

Examples: problem solving, exploiting basic trading opportunities. As an additional key feature, we propose to surf over the frontier of knowledge by attending webinars held at the Energy and Commodity Finance Research Center Topics: As many as 5 to 6 of the following items will be dealt with: Economic fundamentals: prices as a key driver for policy makers, market overview, actors, listing, forward curve and the economic cycle, volatility.

Oil markets: Supply chain, demand, and markets, case-studies: oil producers, oil refinery, airline consumers, reserve based lending. Gas and electricity markets: supply chain, demand, and markets, inventory reduction, working capital needs, shale gas and LNG. Shipping freight and coal markets: freight rates, indices, and derivatives, marking to market. Gold markets: supply chain and demand and markets, price determinants and dynamics, options and certificates, LBMA, trading gold as a currency.

Agriculturals: exploiting market correlations in different geographic areas: case study, inventory securitization: how to obtain cheaper financing. Regulation: derivatives utilization and MIFID II: potential impact, how hedging and speculative strategies are changing due to compliance.

Trading and market manipulation: taxonomy, trading examples. References: [EW] Eydeland, A. Animation : Cours discussions. Nombre d'uv : 0. The objective is to present the different methods used to estimate the value of a firm, their theoretical foundations and their link with existing theoretical models. In addition, we discuss problems arising in valuing specific assets such as intangibles and issues such as the treatment of minority interests, pension funds and leasing.

Discounted Cash Flows DCF - Valuation with multiples market and transactions - Valuation of intangible assets - Treatment of minority interests, pension funds, leasing, etc. Teaching method: Lectures and case studies in class. Attendance will be taken at the beginning of every class. Any student with strictly more than 2 absences will be granted a zero grade.

In addition, any absence during the term paper presentations at the end of the course will automatically be sanctioned by a 5 points penalty on the final grade. No excuses will be accepted. Both are done by groups of students. The purpose of this course is to study the financial decisions of corporations and investors in an international environment. The course will cover three main topics.

First, we study the economic and financial implications of exchange rate movements. Second, we analyze derivative products available to hedge exchange rate risk. Last, we focus on the international diversification of portfolios. Topics: The topics covered in this course are: financial globalization, international monetary system, international financial regulation, capital flows, currency regimes, contemporary financial crises, currency exchange markets, triangular arbitrage, determinants of foreign exchange rates, fundamental currency parities, purchasing power parity, monetary models of exchange rates, national accounts, foreign exchange derivative products, international portfolio choice, and global cost of capital.

Examples: pay-off function, static replication, arbitrage vs. Examples: interest rates, accrual rules, building a discount function. Examples: forwards, futures, swaps. Focus is on conceptual and quantitative analysis, including pay-off construction, financial replication, analytical calculations through exercises, as opposed to institutional market features. We provide a wide-spectrum training aimed at tackling recruiting interviews for job positions in Risk Management, Asset Trading, and Financial Engineering at multinational financial institutions such as investment banks, financial intermediaries, and insurance companies.

An inductive approach is followed: we introduce all topics through practical examples and then identify general rules. Teaching method: The material is delivered through lectures notes, in class examples, and case studies. One-third of each class meeting is devoted to the solution of exercises and cases. Part of a class meeting is devoted to the presentation of selected questions posed during interviews at Wall Street based investment banks. One class meeting is jointly held with an invited practitioner.

Students may bring a CV. Participants are expected to attend classes regularly and manage schedule so to meet the course's requirements. References: [C] Crack, T. Partners: international traders, food processors purchasing agricultural products. Prices fluctuate a lot, from 1 to 3, on international commodity raw materials markets. So, risks taken by commodity producers and manufacturers are very high. The objectives are as follows: - To understand price mechanisms of international commodity markets and how price mechanisms are affected by WTO commercial policies and agricultural policies US Farm Bill, Common Agricultural Policy in the EU ; - To know the principles, role and mechanisms of futures markets; - To identify risks taken by economic agents; - To be able to use financial tools futures contracts and options in order to mitigate risks of price volatility.

Topics: - The specificity of price mechanisms of international commodity markets. Teaching method: The course provides theoretical and practical tools, particularly with the experience of experts and business executives. Gestion contre benchmark, mesures de performance.

It is a quantitative course and draws upon analytical tools and theories introduced and demonstrated throughout the course. Students should be familiar with matrix algebra, optimization methods, as well as basic statistics and linear regression analysis in order to understand the material covered in the course. Cours magistral, jeu de simulation de trading. We introduce the main topics required on typical recruiting interviews for job positions on Futures Trading, Option Trading and Advanced Financial Engineering at multinational financial institutions such as investment banks, financial intermediaries, and insurance companies.

An inductive approach is adopted: we introduce all topics through practical examples and then identify general rules. A particular attention is put on Risk Hedging Strategies of derivative books and the structuring of financial products in deregulated Energy Markets. Training Day: one class meeting is devoted to the presentation of selected questions posed during interviews at Wall Street based investment banks.

We provide detailed answers to all questions by applying tools introduced along the FIN. Open Day: one class meeting is jointly held with an invited practitioner. Students may bring and hand out a CV. As time permits, part of the course is devoted to the introduction of Commodity derivatives and Credit-linked securities. Teaching method: Lectures supplemented by exercises and a session with an invited guest speaker.

This course introduces the students to the basics, valuation and hedging of fixed income securities with and without credit risk. The course is targeted to teach the fixed income basics that a well-trained financial practitioner should know. Teaching method: Lectures supplemented by case studies and computer exercises.

The course aims at providing students with the practice of option markets in their main dimensions. After having summarized the most important fundamental results of option theory, we will implement them through derivative and structured product pricing and structuring concrete examples parameters, calibration, models. Then we will focus on risk management, studying the everyday management of a trading book.

We will also present current market environment and its main business and regulatory stakes. Last courses will be partly dedicated to employment considerations interviews, jobs, banking industry opportunities , so that students are fully equipped to start a career in option markets. Topics: - Option theory fundamental results reminder. Structure of the financial world client typology, role repartition and organization of a trading room functions, interactions. Teaching method: Our goal is to balance and enlighten theory by concrete market applications to fill the academic gap.

Case studies and client pitch simulations will be done with students in class. Banking professionals sales, traders, structurers, quants will share their experiences and provide students with tips and advices for interviews lecture hours at ESSEC, including case studies with banking professionals. Module combines home exam and final written test: - On mid-term, a case study will be performed by groups - On lesson 10, a written exam will be proposed.

The course is intended for students who have a quantitative background. I assume that students have already taken introductory derivatives course where Brownian motion and Black-Scholes model for European options are intensively discussed. For the empirical part, students are strongly encouraged to review the basics of Matlab programming. The course starts with a review of derivatives contracts forwards, futures, and options and hedging strategies, followed by the introduction of the properties of the Brownian motion which are necessary for pricing advanced options.

We then move beyond Black- Scholes assumptions and examine empirical properties of asset prices. Next we study exotic options and American options, and discuss how to use different numerical methods to price them finitedifference and Monte-Carlo. The course also covers alternatives to the Black- Scholes model, the generalized autoregressive conditional heteroscedasticity GARCH models, as well as stochastic volatility SV models.

Topics: Risk-neutral pricing. Exotic Derivatives. American options. Finite-difference methods. Monte Carlo Simulation. The objective of this course is to introduce key risk management concepts to students and to illustrate the methods through concrete applications.

This will be complemented with a guest lecture by a practitioner. A practical approach: how to originate, negotiate and execute profitable deals. The key techniques to being successful and adding value in the deal making industry. Teaching method: Each session will combine fundamental coursework with real world case studies.

Systematic non-marked QCM to sustain the learning curve, and momentum. The Information Systems Decision Sciences and Statistics Department provides theoretical and practical instruction in the fields of information systems and technologies, Business Analytics, stochastic modeling statistics and econometrics , multivariate data analysis exploratory data mining and predictive modeling , as well as scientific management methods decision analysis, game and negotiation theory, and operations research and quantitative risk management.

The idea that effective business management requires a thorough knowledge of information and decision sciences has consistently proved true in practice. These systems have become key to organizational survival. Their quality and flexibility are determinant of a company s ability to handle market complexities and big data. They are vital tools in developing and implementing systems that provide businesses with a competitive edge. Information and decision systems have gone from being the purview of a handful of specialists to that of any competent manager who needs to understand and use ever more sophisticated quantitative tools.

With this in mind, the department offer students a rigorous but practical grounding in management-related issues as its primary objective. Many of the department s courses could be described as transdisciplinary. The concepts, methods, techniques, strategies of analysis and tools to which they are introduced will be useful in understanding other courses in their program of study Tracks: Actuarial Sciences, Economics and Finance.

More specifically, they develop analytic excellence e. Please visit our website at to download our brochure, which provides information on our faculty s research interests and activities. The department proposes an Information Systems Track fully in English.

To locate facilities, plants or distribution centers, plan production and inventory, size human resources, price a product, design a telecommunication network, divide a sales territory into regions, schedule activities in a large-size project: here are some examples of complex decision-making situations for which one s common sense, pocket calculator or intuition is generally not sufficient to see clearly how to proceed and what to do.

To launch a new product, invest in a new project, change production technology, are other examples where the decision-maker has to make a bet on the future, i. How to make a confident decision? How much additional information is worth in such a decision context? Which cognitive biases occur in such decision-making situations? The course aims at providing answers to these questions. High stakes and big data often lead the decision-maker to seek for decision-support tools.

This course is designed to introduce decision analysis and decision-aid techniques to the students. Topics: As for methods and models, we will mainly use: - Linear Programming for modeling optimal planning problems 3,5 sessions - Graph Theory for project planning and scheduling 1,5 session - Decision trees, probabilities and decision criteria for decision-making under uncertainty 3,5 sessions - Game Theory for competitive decisions 1,5 session These tools are used in such domains as Supply Chain and Operations Management, Human Resources, Marketing, Finance and Risk Management.

The ability to analyze, model and structure a decision problem will be more stressed and emphasized than the proper solving techniques, although the participants will learn to use some solving tools. Teaching method: The course will alternate presentations, exercises and team workshops using case studies introduced and discussed during the course. Participants are stimulated and encouraged to propose models during class, as well as to use their own experience to discuss the applicability and limits of the proposed models.

A challenge will also be proposed and graded. It develops the main theoretical concepts and modeling techniques of QRM, for the students to acquire practical tools to solve real problems of RM like the estimation of the probability of extreme events, or the modelling of dependence between risks, or techniques to validate models. We will discuss risk management RM in the context of finance and insurance, but RM technology applies also to other sectors of industry.

Mains concepts include loss distributions, risk measures, interdependence and concentration of extreme risks, using techniques deriving from probabilistic modeling and statistical analysis, in particular extreme value theory. This course is strongly recommended for the students who are interested into: Financial risk management Market finance Actuarial and financial mathematics.

Prerequisites: Probability and statistics play a fundamental role in this course; students are expected to have a good knowledge of the basics of these subjects. IDSE e-business Entrepreneurship The continued growth of the Internet in parallel with the development of commodity technology resources and tools has fundamentally lowered the barriers to the creation and development of new businesses.

Yet, few students fully appreciate the depth and breadth of e- Business models that continue to transform our business and private lives. The purpose of this course will be to explore, in partnership with the students, the breadth of e-business models with a focus on entrepreneurial ventures and new forms of business that entrepreneurs might leverage.

Furthermore, the course also has the explicit goal of helping students recognize how they might create a new business or transform an existing business through entrepreneurial activity. Learning goals: On completion, participants will be able: - To use tools for analyzing and innovating ebusiness models framework and exploration of types of business models , - To understand the economic foundations for and variation in e-business models e.

Topics: E-Business models description and design; Economic, social, and psychological foundations; Developing and validating new e-business models and economics; Monetization; Socialization; Virtualization; Aggregation; Mobilization.

Grading pattern : A variety of different assessment methods, both practical and theoretical, will be used in this course. Specifically these will include: - Collaborative knowledge project - New venture idea development - Individual participation - Group participation - Optional individual assignment.

Contact hours: This five-week course provides an introduction to the spreadsheet package Microsoft Excel. This course is intended for AST students with less experience of computing. Spreadsheet applications are indispensable in business. Executives use Excel or alternative spreadsheet software to set up simple organizational information systems based on numeric data and also to improve personal productivity. At the end of the course students should be able to use the basic and some advanced features of Excel as illustrated in the course material for their own spreadsheet applications.

This course will be delivered primarily through an online self-learning platform. Students will be given access to the platform and are required to go through the self-learning modules in the five-week period. Students can freely choose to work at their own place or at school. Managers have to be implied in these projects to answer key questions, such as: Who is allowed to access information systems? Who classifies information deriving access rights?

Which business area must this database cover? Does this database meet our requirements? The objective of the course is to enable students to play an active role in IS project teams. They will be able to translate functional requirements in database structures. Students will be able to understand the organizational impact of IS choices. The course does not require prior knowledge in IS. Teaching method: Each session consists of a half theoretical part and a practical application.

At the end of the course, students are able to understand and criticize database solutions, to interact with a database using the SQL language, and to participate in an IS project. Three different softwares are used. This course aims at teaching the advanced techniques that will save you hours and make it possible to create insightful analyses with Excel very efficiently.

A lot of time is spent during the class on practical work with many short exercises and realistic trainings. Participation, cas, projet, quiz. Core course A modern organization cannot function without information systems IS , which are applications of information technology IT for organizations and individuals.

People in organizations are not equipped to deal with situations that occur without knowing about what IS exist in organizations, how they affect organizations and their employees, how they are developed, and how they can be made more efficient and effective.

The topic is therefore essential for any management student. The course is participative. Many of you can provide real world context for what we will be discussed in the class. Continuous assessment will include some of the following: tests, presentations, reports, case studies and other group and individual contributions.

The growth in the use of the World Wide Web as a consumer information and transaction media has had a huge impact on the operations and management of most business in the early 21 st century. In many cases, the nature and power structure of the entire sector has changed practically overnight. Organizations of all size are being forced to consider the implications of E-Commerce for their continued growth and survival.

Furthermore, e-business has brought new opportunities for organizations to innovate in different industry sectors. Adopting a managerial approach, this module provides students with the knowledge needed to participate in such decisions. A special focus is given to the Asian markets. Learning goals: On completion, participants will : - Understand the technological elements that drive successful electronic commerce initiatives in Asia; - Be able to participate in the design, development, implementation and assessment of electronic business projects; - Understand current trends and issues in the Asian electronic marketplace; and - Be prepared for the operational, tactical and strategic management of electronic business projects.

Topics: E-Business technology; B2C and B2B applications in Asia; models and economics; payment; security and trust online; mobile commerce; legal, ethics, and social issues. A variety of different assessment methods, both practical and theoretical, will be used in this course. Specifically these will include: - An e-business report and presentation - Mini-cases and exercises - Class participation. Lesson learned: if you love your current job as a CEO and want to keep it, or if you care about your business as an entrepreneur, do not neglect your cyber security strategy.

Because cybersecurity is a very managerial and strategic topic. This course aim is to provide an understanding of information security challenges and an overview of strategic best practices. We believe this course to be essential for any management position implying decision-making in uncertain environments top management, consultancy, etc.

This course will be an asset for entrepreneurs, risk managers, consultants or future CEOs. The purpose of this course is to highlight the innovativeness of cybercriminals and discuss the implications for cyber security tactics and strategies. This course will help students assess information security risks, react in times of crisis and reflect on cyber security governance and strategy.

No IT knowledge is required; we will adopt a business point of view and stay at a strategic level throughout the course. Topics covered and learning goals: New cybercrime challenges, hacking techniques through a managerial lens , unethical and illegal web marketing, data theft and social engineering.

Cyberwarfare and collateral damages on businesses. Organizational facets of information security. Information security risk management: how to identify threats, vulnerabilities, assess risks and set up a risk management plan. Cybersecurity governance, strategies and crisis management: how to plan and react, how to communicate during an information security crisis, which communication tactics and strategies should be favored for which target media social networks vs.

Learning outcomes include acquaintance with IS security strategy and risk management methods, an understanding of crisis management and communication, and an appreciation of the main issues and challenges in cyber security. Teaching methods and grading pattern: A combination of lecture, guest speaks from the industry, case studies and group discussion will be used to achieve the course objectives. The module will be assessed using a combination of mini-cases and interactive exercises, prepared in groups both in class and between classes, an individual exam, class participation.

IDSI Website creation Topics: The first part of this course introduces a conceptual framework and process to design websites: strategic analysis, requirement and specification analysis, technical choices, iterative and incremental approach to building a website, and web project management. The second part presents the state of the art of webpage design. The students will apply all concepts for a personal project using software such as HTML editors, a web programming language, and a database.

This course allows students to design and implement a web site and understand the technical issues. Thus, having a customer focused transaction presence has become a necessity for practically every company, and many companies now exist solely in the online space as pure-play electronic businesses. Adopting a managerial rather than a technical approach, this course provides participants with the knowledge needed to participate in and manage the development of e-business. Its aim is not to teach coding or other technical skills, but to help participants understand the processes involved and give them the knowledge and competencies to be able to interact effectively with development professionals.

Learning goals: The course aims to provide a managerial perspective on contemporary issues surrounding website and e-business creation. Upon completion, participants should understand: - The alternative revenue models that can be used to fund e-business companies; - The website development process; - How to successfully drive customers to websites using electronic marketing techniques; - The role of Social Media and Web 2.

Teaching method: A combination of lecture, mini-cases and group discussion will be used to achieve the course objectives. Learning will be reinforced through the use of a group project focused on developing and driving business to a specific website.

The module will be assessed using a combination of mini-cases and interactive exercises, prepared in groups both in class and between classes, a group electronic marketing assignment, and class participation. IDSI Digital Transformation Introduction: The exponential rise of digital technologies over the past couple of years has deeply transformed the world we live in. Companies have had to undergo a radical transformation: - They need to acquire new competencies; for this, they are ready to entrust digital natives with posts of responsibility.

These young recruits have to demonstrate their ability to respond to the new business challenges that the company is faced with, - They call upon specialized agencies that can provide them with solutions on a given domain of expertise, but without necessarily bringing them a global approach that responds to all the new challenges that they are confronted with.

We work in all domains of the company: Strategy, Marketing, Distribution, After sales service Key principles: 1. Inputs from specialists: a. Consultants specialized in digital marketing, social media Guest lecturers from companies that are pioneers in the digital domain such as: Google, Voyages-sncf.

Innovative course content: a. Latest market trends b. An in-depth study of business challenges that companies face in the digital domain 3. Real life case studies: a. Practical application through case studies based on real projects that Capgemini Consulting teams have worked on 4. Interactive format: a. Lecture-based sessions to present the fundamentals b.

It will help students to confront real issues companies have when they need to adapt themselves to the new digital trends This course will provide students with tactical frameworks and practical experiences for dealing with complex trends and competitive environments.

It will explore a variety of available cases in order to illustrate and understand successful and failed cases. The students have to present their findings orally in front of a professional jury. The objective is that the student learns how to convince top managers that their solution is the right one. In today s business environment, decisions are more and more complex, and the amount of data available for analysis is growing dramatically.

In this context, managers are increasingly relying on information technologies to analyze these data and assist them in decision making. This course is about Business Intelligence BI , defined as the technologies and processes for collecting, blending, modeling, analyzing and visualizing data in order to gain insights and make better decisions.

Moreover, in the age of big data, BI and analytics are key strategic differentiators between companies. Objective and content: The course presents information systems and technologies pertaining to decision making including data warehousing, OLAP, dashboards and scorecards, data visualization, big data analysis, and data mining , as well as BI-specific modeling techniques including multidimensional modeling.

The course stresses: - hands-on experience with tools. The tools used in this course are a Transparent Choice for multi-criterion decision analysis based on the Analytic Hierarchy Process , Table for data discovery, visualization, and dashboarding , and Orange, a visual datamining tool based on and compatible with Python for decision trees, random forests, association rules, and text mining.

With these tools, and the underlying models and methods, the course covers the main types of analytics: diagnostic a. The ultimate aim of the course is to arm students with the knowledge and skills pertaining to the use of Information Systems IS and Information Technology IT for decision making. Grading consists in four cases and a project. The four cases check that students master the models, methods, and tools presented in class. A minimum level in statistics is necessary for that course, although the course will concentrate more on the tool and software SAS Enterprise Miner than the underlying statistical models, which will be introduced at the beginning of each session.

The course mixes management, statistics, operations research and computer science skills. It is a tool-oriented course based on a predictive modeling SAS software that will be used in computer rooms. The course is also a complement to IDSI Business Intelligence, which also deals with data mining, but the focus is here on predictive modeling, statistical and regression models.

Upon successful completion of the course, students should possess an operational knowledge of the SAS Enterprise Miner software in order to achieve the following: - Build and understand predictive models such as decision trees, regression models, neural networks and other algorithms like SVM, PLS Regression, Knn Two absences are playoffs.

This course is for students willing to acquire an in-depth knowledge of the language used to add new functions, create automated procedures and develop applications in the Excel environment. A good command of Excel is required. The content will depend on professors' current interests and latest developments.

It provides the methodology to calculate the rate of change and indeed, whether the rate of change is decreasing or increasing. Contact hours: exam This course gives a refresher of basic mathematics such as counting and sum calculus, graphs of functions, limits and differentiation, as well as an introduction to optimization.

Measuring change and optimizing decisions or prices have natural applications to various fields of management, especially economics, finance and optimal planning. Modelling a demand function is also useful in marketing. Analytical tools are needed then to evaluate how deeply and how fast the managerial environment varies, to measure what the impact of a given policy is, and also help make the best decisions.

Teaching method: Educational talks will alternate with case studies and computer-aided simulation sessions. We will revisit and introduce probabilistic concepts, illustrating them with some models, from the binomial model to the Black-Scholes model considered as a first approximation to the real world of option pricing.

These models, artificial from a finance perspective and simple, lead us to essential ideas and important probabilistic methods of the stochastic calculus, used as a foundation to develop more refined models. This course is strongly recommended to the students who are interested into market finance insurance, actuarial science. Two options: 1. Contact hours: exam Statistics mainly comprises three large domains. Data production in business basically refers to sampling and surveys.

Descriptive statistics allows exploring and summarizing data by means of tables, numerical measures and graphics. Stochastic modeling is based on probabilistic methods that constitute the area of mathematical statistics. This course aims at presenting the main concepts, methods and strategies used in the three domains of statistics. Several real examples will be also presented so as to make the understanding of concepts and statistical methods easier and directly connected to business and related fields where they provide support to decision making processes.

IDSS Introduction to Econometrics This course aims to introduce the basic concepts of econometrics and modeling approaches so that students are able to: - Implement suitable statistical methods for the construction of econometric models - Assess the validity of econometric models - Use econometrics software. The assimilation of the concepts of this course, learning tools and modeling approaches will be based on examples in the fields of finance, insurance, marketing At the end of this course, students should be able to build econometric models and use software.

They will also have to be able to assess the validity of econometric studies. This course is essential for students who are orientated towards the M2 "Probability and Applications in Finance". Briefly, an economic model is a representation of a formal economic theory.

From an economic model, econometrics aims to: i Specify the shape and relationship between the variables used in economic theory to develop an econometric model. As mentioned above, the definition of a theoretical framework is a prerequisite for econometric modeling. This practice may, however, be challenged by saying that a priori theoretical models determine the model structure and outweigh the statistical analysis of data.

In particular, it is not certain that the patterns of causality between selected variables are correct. Therefore, the current econometric approach starts by searching without a prior theoretical causal relationship between variables from purely statistical methods. This course will be illustrated using examples specifically oriented finance, economics or marketing following the profile of the students enrolled in this course.

Assessment will be based on a final exam E and three Homeworks HW. It aims at developing analytical problemsolving skills while presenting quantitative methods apt to support decision-making processes in the face of uncertainty. Participants shall learn how to manage complex data sets with an information retrieval approach.

They will use a specialized technology and will work on a statistical project in teams so as to be trained on integrating the thinking of others in the interpretation and reporting of result. More specifically, this course provides the students with the methodological principles of the multidimensional data analysis methods most often used in private companies e.

Furthermore, the course lets the students familiarise with the practice of these methods and how to present the results to decision takers. This course aims at extracting knowledge from multidimensional data by exploring, describing, visualizing and synthesizing the relationships between the observed variables when limited information is available on the domain of interest so that structural and typological factors need to be identified.

Typical applications refer to the analysis of survey data, the exploitation of Big Data by means of the so-called Data Mining approach characterized by hundreds see thousands variables and thousand see millions statistical units e. In such a case, the aim is to move from raw data to valuable information and knowledge by looking mining for interesting patterns or departures from patterns of behaviours in the vast amount of collected numbers and facts.

Finally, the course shall enable students to choose the most appropriate data analysis method in accordance with the nature of the variables in the dataset at hand and the objectives of the research itself and to properly interpret the results. The software used in this course is R and the students are encouraged to develop their R skills outside class.

A statistical analysis of real-life type of data and a case study will be completed by the end of the course. First, the statistical analysis shall be prepared by the students in teams a written report has to be handed in to the teacher ; second, recommendations will be delivered as it would be in a company.

There will also be an individual test in class, and students will be graded for participations, discussions and presentations. It is probably one of the most open questions since its very object is to anticipate the future. The advent of Big Data seems to have rendered it possible at last.

The aim of the course is for students to understand the methods of forecasting and predictive analytics which are used in Business and Economics. Gouvernement de Jean-Pierre Raffarin — Introduction, Ch. Emeutes dans les banlieues, les agitations les plus violentes depuis mai Je ne suis pas un admirateur aveugle des Etats-Unis. Les affluents principaux de la Garonne sont le Tarn, le Lot et la Dordogne. En fait, il y a quatre sortes de climat dans le pays: 1.

La ville-type est Strasbourg. Quel est le fleuve le plus long de France? Quelle est la voie fluviale la plus importante? Dans quel climat trouve-t-on des pluies abondantes en toutes saisons? On voit souvent de grands bateaux sur la Loire. Les fleuves qui ne prennent pas leur source en France sont a. Vos recherches sur Internet.

En quoi consiste le patrimoine naturel de la France? Regardez quelques images. Combien de parcs nationaux la France a-t-elle? Citez-en quelquesuns. Quel type de faune ou flore y trouve-t-on? Cherchez quelques exemples de son patrimoine historique. De quels pays viennent-ils? Pour comprendre cette centralisation, il faut remonter dans son histoire. Paris est la capitale de la France depuis plus de mille ans.

Le Louvre, une forteresse, fait partie de cette enceinte. La Bastille en fait partie. Mais en , Paris a acquis un statut municipal comme toutes les autres villes de France, grandes et petites. La Bourse, centre des affaires commerciales et bancaires, se trouve dans le 2e. Les arrondissements 5—7 Les 5e, 6e et 7e arrondissements comprennent les quartiers les plus anciens de la rive gauche. Dans le 6e, il y a le Palais du Luxembourg, avec ses magnifiques jardins qui constituent un des grands espaces verts de Paris.

Mais le 7e arrondissement contient deux autres monuments qui sont encore plus connus des touristes. Contenant peu de monuments, ces arrondissements sont moins connus des touristes. Elle relie la capitale aux grandes villes de Lyon et de Marseille.

Le quartier Montparnasse se trouve dans le 14e. Le sommet de cette tour offre une vue panoramique splendide de la capitale. Le quartier de Montmartre se trouve dans le 18e. Le quartier populaire de Belleville se trouve dans le 19e. Il y a une trentaine de villes qui comptent plus de habitants.

Dans les ZUS, il y a souvent des conflits entre les jeunes et la police. Cette population se voit comme victime du racisme et de la discrimination sociale. Paris historique. On dit que Paris a eu trois occasions historiques de devenir la capitale de la France. Quelles sont les trois personnes qui ont choisi Paris comme capitale? Paris est la capitale de la France, sans interruption, depuis combien de temps? Paris actuel. Quels sont les arrondissements les plus riches de Paris?

Quels sont les arrondissements les plus ethniques? Que sont les ZUS? Beaucoup de Parisiens sont originaires de province. Paris ne fait pas partie de la petite couronne. Le plus ancien quartier de la rive droite est a. Montmartre c. Quelles villes ont une grande richesse historique et culturelle dans votre pays? Cherchez quelques exemples. Les anciennes provinces. Lille est la ville natale de Charles de Gaulle. La Bretagne est une des provinces les plus catholiques de France et on trouve des calvaires le long des petites routes et aux carrefours.

La Bretagne est le pays natal de Chateaubriand. La Touraine est aussi connue pour ses vignobles qui produisent des vins rouges, comme le Bourgueil, et des vins blancs, comme le Vouvray. Tours est la capitale de la Touraine. La Touraine est le pays natal de Rabelais, de Ronsard et de Balzac. Le pays basque est le pays natal du compositeur Ravel.

Sa capitale historique, Limoges, est la ville natale du peintre Renoir. On y trouve de nombreuses stations thermales. Une autre ville savoyarde, Albertville, a rempli cette fonction en La Bourgogne est le pays natal de Lamartine et de Colette. La plus grande ville champenoise est Reims. La capitale historique des ducs de Lorraine est la ville de Nancy. Le centre touristique de la civilisation alsacienne est la petite ville de Colmar. La plus grande ville est Strasbourg, capitale alsacienne.

Mais il y a aussi des parties de la France qui ne se trouvent pas en Europe. La tapisserie de Bayeux se trouve en Alsace. Quand on va en Provence, on peut visiter le Palais des Papes. Le viaduc de Millau est le pont le plus long de Normandie.

Lequel de ces sites ou villes ne se trouve pas en Normandie? Rouen b. Le Havre d. Rennes 2. Faites des recherches sur celle-ci. Des panneaux en occitan, Nice. De nos jours, il y a des chanteurs folkloriques qui enregistrent leurs chansons en occitan, en corse et en alsacien. Dans de nombreux villages bretons il y a des festivals de musique bretonne. Le Canada est officiellement bilingue. En quoi consistait la loi Deixonne?

Pour quelles raisons? En quoi consistait la loi Toubon? Bayonne Strasbourg Ajaccio Brest 5. Dunkerque 6. Toulouse 7. Perpignan IV. Y a-t-il plusieurs dialectes dans votre pays? Qui la parle? Quelle est son histoire? Pourquoi une expansion si ambitieuse? Le scrutin proportionnel favorise la participation des partis minoritaires. A Maastricht, le RoyaumeUni a choisi de ne pas adopter les mesures de politique sociale. La question est toujours en litige.

Son avenir va certainement influencer celui de tous les pays membres. Combien de pays font actuellement partie de la zone euro? Pourquoi pas? Quels documents doit-il emporter? Peut-il voyager avec son chien ou son chat? Quelles marchandises peut-il rapporter? Vive la France! Premier Empire — Second Empire —70 ; guerre franco-prussienne Ce changement dans la Portrait officiel de Charles de Gaulle. Le Premier ministre a. Le Conseil constitutionnel a. En quoi consiste le Parlement des enfants? Faites des recherches sur la Constitution.

Quels droits celle-ci garantit-elle? En voici une liste partielle: 1. La justice est une institution qui comprend la magistrature et la police. Plus maintenant. Il y a aussi une administration locale qui gouverne les divisions administratives. Au niveau municipal, il y a les communes. Il y a parfois des conflits entre ces deux tendances. Les communes sont les villes, grandes et petites. Le nombre de conseillers municipaux varie selon la population de la commune neuf pour les plus petites, pour la ville de Paris.

Sa fonction devient de plus en plus importante. A quoi sert la Cour de cassation? Le service militaire est-il obligatoire en France? Quelles sont les divisions administratives de la France? Citez-en quelques-unes. Quelle sorte de services assure-t-il? Quels sont les droits des usagers de la justice?

En quoi consiste ce service? Qui peut y participer? Elle symbolise les valeurs de la vieille France, de la famille et des traditions. Source: www. A droite, il y a actuellement un grand parti et plusieurs partis minoritaires. Les autres partis de droite refusent de former une coalition avec le FN. Le Parti Socialiste PS est le grand parti de gauche. Quelles sont les conditions requises pour pouvoir voter?

Le tableau ci-dessous indique les dix candidats qui ont obtenu le plus grand nombre de suffrages. Mais une nouvelle cohabitation est toujours possible. Qui a le droit de vote en France? Deux cohabitations ont eu lieu sous Mitterrand.

Expliquez cette loi. En quoi cette loi consiste-t-elle? Le PCF favorise la nationalisation des entreprises. Dans les grandes communes, le scrutin de liste est majoritaire. Quand ont-elles lieu? Qui a le droit de vote? Depuis quand ceux qui ont 18 ans peuvent-ils voter aux Etats-Unis? Quand les femmes ont-elles obtenu le droit de vote? Quelles constations pouvez-vous faire? A 13 ans, il peut voir certains films qui sont interdits aux moins de 13 ans. En , SOS Homophobie relevait une agression tous les trois jours.

Les femmes obtiennent le droit de vote. Le divorce par consentement mutuel devient possible. RU , la pilule abortive, est mise en vente. En France, tous les trois jours, une femme meurt sous les coups de son conjoint ou de son ex-conjoint. Que se passe-t-il donc? La famille est-elle en voie de disparition? De nouvelles formes de vie familiale coexistent avec la famille traditionnelle. En quoi ce livret consiste-t-il? Que fait le Gouvernement pour limiter les grossesses involontaires et les maladies sexuellement transmises chez les jeunes?

Quelles sont les raisons de la politique familiale en France? Quelles sont les tendances principales que les recensements annuels indiquent? Simone Veil 2. Roselyne Bachelot-Narquin 5.