ENMG 601 Strategic Management of Technology

9 ECTS

People and organizations use the word strategy in many different ways. In whichever way used, most of the time it includes a sense of direction, of a plan of action towards a goal. It is widely agreed that most value is created for organizations through identifying and selecting the right strategy first, then through executing the strategy with excellence. Whether it is project strategy, corporate strategy, sector strategy, business unit strategy, or market strategy, growth strategy, start-up strategy, development strategy, organizational strategy, HR strategy, investment strategy, etc, developing the strategy is both a science and an art. It is important to follow a systematic process in developing the strategy without limiting the creative potential to seek new superior alternative strategies. Developing winning strategies is contingent on employing the right decision analysis skills, tools, and frameworks. It follows that strategy and decision science/making are tightly related concepts. This course will provide students with the theory, tools, and frameworks to navigate the strategy value chain, from strategy development/design based on the different strategy development approaches to strategy dissemination, execution, monitoring, learning and update.

ENMG 602 Introduction to Financial Engineering

9 ECTS

Financial Engineering (FE) is the tailoring of cashflows over time to be as desirable as possible. This involves the scientific design of financial products" which are traded in the financial markets. Examples of financial products (also known as financial instruments or securities) include bonds, stocks, futures, and options. This course aims to (i) introduce the student to financial accounting, the investment process and financial markets; and (ii) to give the student a flavor of FE applications. The course is divided to two parts. The first part covers the basics of financial accounting. It provides the student with a working knowledge of the accounting process and its usage in assessing the financial performance of organizations. This also enhances the understanding of the “big picture" (i.e., the business environment where FE is implemented). The second part is on FE applications to “fixed-income" securities involving deterministic cash flow streams. These applications include pricing and portfolio structuring of bonds, capital budgeting, cash matching, dynamic investment management and firm valuation. This course will prepare the students to handle more complex financial instruments with uncertain cash flows such as stocks, options, and futures.

ENMG 603 Probability and Decision Analysis

9 ECTS

This course provides a coherent approach to decision making, developing rules of thought to transform complex decisions into simpler decision situations. Basic techniques of modern decision analysis are discussed and the emphasis of the course is on the development of models to represent decision situations and the use of probability and utility theory to represent uncertainties and preferences, respectively, in those models. The course will make use of spread sheet modeling where we use PrecisionTree and @Risk among others.

ENMG 604 Introduction to Operations and Process Management

9 ECTS

This course aims to present to the students how to design and manage operations in an organization for a sustainable and competitive advantage. The course addresses theoretical and practical insights into service and manufacturing operations, in both the private and public sectors. The course covers topics, such as: Forecasting; strategic operations; introduction to linear programming; aggregate planning; inventory management; MRP and ERP and scheduling. (This course is cross-listed as MSBA 507 Operations Management in the Faculty of Business).

ENMG 610 Digital Transformation and Artificial Intelligence

9 ECTS

This course explores the fundamental aspects of digital transformation, focusing on how emerging technologies (especially Artificial Intelligence) are reshaping industries and organizations. Students will learn to formulate and implement digital business strategies at the product, process, and business model levels, covering key areas like operations, marketing, and human resource management. Emphasis is placed on understanding Industry 4.0 and 5.0, and how these frameworks integrate with digital transformation efforts. The course also highlights the importance of performance measurements, including economic, environmental, and social dimensions, equipping students with the skills to lead and measure digital change effectively.

ENMG 620 Sustainability Management

9 ECTS

This course explores the essential principles and practices of sustainability management, providing a comprehensive understanding of how organizations can integrate sustainable practices into their operations. Through a mix of theoretical knowledge and practical applications, students will engage with the following key topics: sustainability definitions and key principles, policy trends and frameworks, voluntary sustainability standard, material data declaration and sustainability report, sustainable business models, sustainable strategies, sustainability-driven innovations, digital sustainability, sustainable supply chain management, circular economy, life-cycle assessment, sustainability pathway for SMEs.

ENMG 631 Project Planning Scheduling and Control

9 ECTS

The course exposes students to project management, in particular concepts and methodology used for planning scheduling, and controlling construction projects. This includes CPM-related techniques (precedence diagrams computations, resource allocation and leveling, cost analysis, time-cost trade-off analysis, project monitoring and control, etc.) in addition to other methods such as Program Evaluation Review Techniques (PERT), Linear Scheduling Method (LSM), and Design Structure Matrix (DSM). The course explores as well project delay claims and risk management in relation to scheduling. The goal is to understand how project management decisions are reached, what tradeoffs are made, and how outcomes depend on the underlying situation.

ENMG 632 Advanced Topics in Project Management

9 ECTS

The course is intended to introduce students to recent advancements related to project management principles and their application. The course particularly aims at discussing ways and means of developing project management capabilities by engineering firms. The course furthermore sheds light on challenges faced with the implementation of the global project.

ENMG 633 Project Deliverance and Contracts

9 ECTS

The course is generally intended to tackle issues related to the various approaches that may be suitable for delivering large construction projects. The course particularly aims at understanding the risks inherent in the undertaking of large projects. The course furthermore sheds light on how certain identified risks can be addressed through the proper formation of project contracts.

ENMG 634 Program and Portfolio Management

9 ECTS

This course will provide students with the theory and tools to manage portfolios and programs from initiation to execution and monitoring.

ENMG 641 Lean Engineering Concepts

9 ECTS

This course focuses on the emerging concept of lean performance in the construction industry. In this course, students will learn about the Toyota production system, the last planner system, value stream mapping, process improvement and many lean prospects. Students will also learn fundamental project management concepts and techniques to define, plan, and execute construction projects. The focus will be on actions that can be taken to meet and sometimes exceed expectations for project time, cost, and quality. The importance of communication and risk management throughout all project stages will be emphasized. Students will be challenged as individuals and as members of a team.

ENMG 642 Dispute Resolution on Projects

9 ECTS

This course is aimed at introducing students of engineering and architecture background to the legal environment governing the construction industry. Students will be exposed to a comprehensive review of the administrative steps and technical stages and gates of the claim/dispute tracking process. Also covered are procedures, contract provisions, and rules of conduct that help minimize and resolve claims and disputes, which inevitably arise in the process of executing construction projects. Discussions shall address how claims/disputes are likely to be triggered, negotiated, and settled.

ENMG 605 Engineering Management Statistics

9 ECTS

This course introduces the fundamental ideas and techniques of statistical analysis and regression with reference to decision taking in engineering management. The course covers techniques for the collection, presentation, analysis, and interpretation of experimental results and develops procedures to deal with the uncertainty present in making inferences and decisions based on sample data. Topics covered include descriptive statistics; sampling distributions, the Central Limit Theorem; hypothesis testing and confidence intervals for one- and two-sample problems; one-way analysis of variance and basic ideas in experimental design; linear regression, and multiple regression.

ENMG 606 Simulation Modeling and Analysis

9 ECTS

Simulation is concerned with developing computer models that mimic the behavior of real systems. This is done through the generation of “random variates" that replicate the statistical properties of a system. Simulation falls under the umbrella of Operations Research. The objective of simulation (like other OR models) is to gain insight into the real system with the ultimate goal of enhancing performance. Simulation is generally used when analytical methods are not effective (i.e., the model cannot be developed with closed-form mathematical expressions). It is also used for validating analytical models. As such, simulation is one of the most popular decision-making tools used by analysts in OR and related disciplines. The objective of this course is to introduce the student to the main ingredients of a successful simulation study. Students will learn how to (i) process input data for a simulation model; (ii) develop a simulation model on a computer; and (iii) analyze the output of the simulation. Simulation models will be developed using Arena and spreadsheets. Financial, logistic, manufacturing, and service applications will be emphasized.

ENMG 607 Stochastic Processes and Applications

9 ECTS

The purpose of this course is to provide students with theoretical knowledge and practical skills required for analyzing probabilistic dynamic systems using stochastic process models. For instance, we can use stochastic processes to model the evolution of a stock price over time, the waiting time of patients in a medical office, the number of people waiting in a bus station, and many other systems that evolve with considerable uncertainty. The course starts with a brief introduction on the concepts of probability, random variables, conditional probability and conditional expectation. Then extends to cover several widely used stochastic processes including Poisson processes, discrete-time Markov chains, continuous-time Markov chains, birth-and-death processes and random walks. Many of these models will be then used to analyze queueing systems.

ENMG 608 Fundamentals of Data Science

9 ECTS

The purpose of this course is to provide theoretical knowledge and practical skills to analyze, visualize, and explore data. The covered material provides an introduction to applied data analysis, with an emphasis on providing conceptual framework for viewing data from both statistical and machine learning perspectives. The course starts with a brief introduction on data summarization and visualization. Then extends to focus on using data to develop predictive capabilities using supervised and unsupervised machine learning models (regression, classification, clustering, PCA, …). The course will include a project and data-driven problem sets.

ENMG 612 Financial Engineering I

9 ECTS

Financial Engineering is the tailoring of cashflows over time to be as desirable as possible. This involves the scientific design of financial products which are traded in the financial markets. Examples of financial products (also known as financial instruments or securities) include bonds, stocks, futures, and options. This course aims to (i) introduce students to the investment process and financial markets; and (ii) explain how Financial Engineering is applied to structure an important class of financial securities. Specifically, the course will focus on portfolio management and valuation of financial instruments modeled as single-period random cashflows (e.g., stocks) and will introduce the student to the pricing of a basic class of financial derivative securities (forwards, futures and options) using discrete-time tools (i.e., the underlying asset prices is assumed to change at discrete time points). This study has many direct applications in the financial market and provides insights that can be extended to handle more complex financial instruments with continuous-time analysis. (These will be covered in ENMG 613 Financial Engineering II.) The course will also provide the students with a good exposure to areas such as mathematical modeling, optimization, probability, and, more generally, to finance, and operations research.

ENMG 613 Financial Engineering II

9 ECTS

Financial Engineering involves scientific tailoring of financial products. In this course, our main focus is on derivative securities. A derivative security is a financial instrument whose value depends on another “underlying” financial (or tangible) asset. Derivative securities are used (i) to hedge against the risk of the underlying asset; or (ii) to make money by speculators anticipating a price change (ignoring market efficiency). Specifically, we will study options on equity (stock) and on interest rates (interest rate derivatives). The study of options in the last three decades has fueled the interest of the scientific community in Finance. The theoretical and practical success on the options front is among the main reasons for the emergence of Financial Engineering. Among the most prominent success stories is the development of the options pricing technique by Black and Scholes, which continues to serve as the main tool for pricing options and other securities. This well-known technique is based on arbitrage pricing and on modeling the stock price as a geometric Brownian motion. We will present the theoretical foundation of this techniques thoroughly by rigorously deriving the Black-Scholes equation for pricing derivatives and its analytical application to plain-vanilla options. Then, since the pricing of several (so-called exotic) options require numerical analysis, we will present numerical pricing methods such as the finite-difference method and Monte-Carlo Simulation. Closely related topics will be also discussed such as volatility modeling and credit risk analysis. Finally, time-permitting, we will study techniques for maximizing a portfolio growth over time. The main objectives of the course are for the student to acquire familiarity with derivative securities and the ability to apply Black-Scholes-type techniques for pricing these securities. A secondary objective is to expose the student to stochastic processes and their applications in Finance.

ENMG 614 Supply Chain Design and Management

9 ECTS

This course covers several supply chain design and management concepts including planning, production systems, inventory control, operations scheduling, facility layout, strategic collaboration, and information technology. It focuses on using analytical tools to design and implement competitive Supply chain systems.

ENMG 615 Deterministic Optimization Models

9 ECTS

This course is intended to be an introduction to the fundamental models, methods and applications of deterministic optimization. The focus will be on formulating and analyzing large-scale deterministic optimization models, which includes linear, integer, dynamic, and non-linear programs.

ENMG 616 Advanced Optimization

9 ECTS

Topics covered include nonlinear, stochastic, dynamic, and nonconvex programming. Optimization in the context of big data, machine learning and prescriptive analytics are discussed. Students will develop skills in modeling complex systems using mathematical programming. Students will also have hands-on experience in using software packages for solving optimization problems.

ENMG 699 Engineering Management Capstone

9 ECTS

This course is typically available to students who have completed the compulsory core engineering management (EM) courses. This capstone course will allow the students to bring together the core concepts, theories, and techniques they learned in the program for completing an EM applied or research project. The course requires integrating the knowledge acquired from earlier courses in the EM program and applying them to a select project. Two side objectives of the course are to train the students on technical writing, in general, and on preparing literature reviews, in particular. The students will start the course by completing select online modules on technical writing. Working in groups (typically two students), the students will then work under the supervision of a faculty member to complete a project. The project might be applied or research-based, but needs to be on themes where the students have high familiarity, given the limited time frame. Applied projects, recommended for students who are working professionals, should be related to a practical problem that the students have worked on extensively in their daily job. Research projects, recommended for students with no/little work experience, should be related to a key concept covered in one of the core or elective courses completed by the student in the EM program. This course is considered an MEM elective.

ENMG 690 MEM Thesis

18 ECTS