The advance in information communication technology has given organizations opportunities to enhance operational efficiency, enable business innovation and create competitive advantage. The spending on IT is reported to show a steady growth worldwide. With this trend, the job of making IT investment decision and managing its implementation should not be solely rely on the IT professionals alone. Managers in organizations are required to acquire knowledge about how to more effectively evaluate strategic and organizational impact of IT. This course focuses on the strategic and managerial implication associated with the deployment of information technology in modern organizations. This course assists students to make sense of various IS management issues. Topics of the course include concepts of IS strategies, IT/business alignment, IT governance, outsourcing, IT security risk management, managing IT Innovation, and global information systems. On completion of this course a student should be able to: 1.Understand the concept of information systems strategy; 2.Acquire knowledge of impacts of IT on business strategy; 3.Understand the importance of IT innovation on the global and electronic marketplace College of Management SENG-CHO CHOU Wednesday ABC GMBA7097 3

Financial reporting provides a convenient and useful means of decision making for outside investors and internal managers. The required course Financial Reporting covers the accounting principles and methods used in preparing financial statements. It emphasizes the rationale for the fundamental accounting concepts, which provides a foundation to analyze and interpret accounting data, and to use accounting data in decision making. In addition, this course also emphasizes the application of the concepts and techniques to real-life cases. We will include 4 HBS cases, along with a group project that involves students’ analysis of companies by applying all concepts and techniques learned throughout the semester. The objective of the course is to introduce the language of business and to train you in the analysis of financial statements. After completing the course, students should: – Understand how business activities are recorded in financial statements – Be able to prepare financial statements – Identify issues related to categories of assets, liabilities and equity in Balance Sheet. – Be able to know “why” for the accounting treatments, in addition to “how” for the accounting treatments. – Apply ratio analysis to companies in different industries. – Aware of ways companies engage in earnings management activities by topics that we covered. – Be able to perform a complete analysis of a company, and to present to outside investors. College of Management Class Participation/Discussion_10% Problem Set Assignments _ 10% Group case assignments_ 15% Mid-term exam _ 25% Final exam _ 25%. Group presentation/report_ 15% Monday ABC GMBA7099 3

* Course outlines： 1. Net Present Value 2. Risk Measurement 3. Capital Budgeting 4. Market Efficiency 5. Capital Asset Pricing 6. Capital Structure 7. Payout Policy 8. Corporate Governance The purpose of this course is to provide students with the insight into the corporate financial management and capital markets. We will emphasize the financial aspects of managerial decisions and will cover most areas of finance, including the valuation of real and financial assets, cost of capital, capital budgeting, the trade-off between risk and expected return, capital structure and payout policy. College of Management Students are expected to attend all classes, to have prepared the assigned case, and to answer questions raised. There is one case report that is due at the start of the class on the day which they are assigned. A group consists of no fewer than three or more than four students. We will select groups randomly to make their presentations to peers. Laptops may be used in class for note-taking purposes and presentation purposes only. Web-surfing, e-mailing, and internet chatting are not allowed. LU, CHIU-LING Tuesday 234 IB7014 3 The upper limit of the number of non-majors: 10.

Paper Reading for graduated students. College of Management MING-HUI HUANG IM7065 2

paper reading College of Management LING-CHIEH KUNG IM7093 2

This course will teach how to design digital technologies that bring people joy, rather than frustration. This course will cover the followings: Techniques for rapidly prototyping and evaluating multiple interface alternatives. Conduct fieldwork with people to help you get design ideas. Make paper prototypes and low-fidelity mock-ups that are interactive and use these designs to get feedback from other stakeholders like teammates, clients, and users. Principles of perception and cognition that inform effective interaction design. Perform and analyze controlled experiments online. Principles and methods to create excellent interfaces with any technology. College of Electrical Engineering & Computer Science HAO-HUA CHU Monday 789 CSIE5641 3

Data is at the center of the so-called fourth paradigm of scientific research that will spawn new sciences useful to the society. Data is also the new and extremely strong driving force behind many present-day applications, such as smart city, manufacturing informatics, and societal security, to name a few. It is thus imperative that our students know how to handle data, analyze data, use data and draw insights from data. This course aims at acquainting the students with the analytical foundation of data handling techniques. The course consists of a series of seminar talks with substantial student participation, in the form of research and presentation in response to posted questions about main topics in data analytics and modeling. 1. Scope Broad topics covered in the course include: •Regression & curve fitting •Probability distribution & parameter estimation •Mixture models, latent variable models & hybrid distributions •Hidden Markov models, Markov random fields, & graphic models •Pattern recognition & decision theory •Neural networks and deep learning Well spend 2-3 weeks on each topic (some may take up to 4 weeks). 2. Format For each topic, a number of questions to help students learn the subject will be posted in advance. Individual student will be assigned to conduct research, answer specific questions and return with presentations to the class. Each student presentation is of duration ~20 min, followed by ~10 min questions and discussion. Students who are assigned to address specific questions have one week time to prepare for the presentation. Common questions shared by all topics are: – What are the problems that gave rise to the particular topic & concept? (The original motivation) – What problems beyond the original motivation will the topic and the related techniques be able to solve? (New and novel applications) – What are the problem formulations with relevant assumptions that have been proposed? (The methodology and formulation) – What are the ensemble of techniques that were developed to solve the problem? (The tools and capabilities) – How do these techniques solve the problem or contribute to the solutions? (The solution mechanism) – What are the limitations of the solutions proposed so far? Any remaining open problems in the topic? (Research opportunities) In addition to these common questions, some topic-specific questions may also be posted and addressed in student presentations. After all posted questions about a subject are addressed in student presentations, one or two commentary sessions by the lecturer on the subject will follow so as to complete the systematic development of understanding of the subject. The course will be primarily conducted in English. To reflect the applicability of the subject matter to local problems, local languages may also be used as the circumstance calls for it. No official textbook is assigned in this course. Students are expected to conduct research with all university provided resources (e.g., books in the library) and information available on the web. Class notes by the lecturer will be distributed in due course. 3. Prerequisite Both graduate and undergraduate students can enroll in the class, as long as they have completed engineering mathematics courses, particularly Probability and Statistics or the equivalent. Overall, students will be exposed to data analytic topics and their historical perspectives, learn to ask and analyze related problems, understand the modeling techniques and their origins, and conceive of new applications and research opportunities. College of Electrical Engineering & Computer Science No written test will be given in the special course. Student presentations are evaluated by the class and moderated by the lecturer. JUANG BIING-HWANG Thursday 234 CSIE5610 3

1. INTRODUCTION TO LIGHTING 2. COLOR SCIENCE 3. INRODUCTION TO DIODES 4. CARRIER RECEOMBINATION 5. LED MATERIAL AND DEVICE 6. HIGH POWER LEDS 7. APPLICATION OF LEDS VARIOUS PROGRAM NONE! UNDERGRADUATE STUDENTS ARE EXTREMELY WELCOME TO TAKE THE COURSE! JIAN JANG HUANG Tuesday 789 OE5040 3

EACH LECTURE WILL BE TAILORED ACCORDING TO STUDENTS UNDERSTANDING. SUBJECTS TO BE COVERED FOR THIS COURSE ARE AS FOLLOWS: 1) THEORETICAL REVIEW OF ELECTROMAGNETISM 2) INTRODUCTION TO VARIOUS OPTICAL SIMULATION TECHNIQUES 3) MONTE CARLO TECHNIQUE 4) NUMERICAL SOLUTIONS OF MAXWELL’S EQUATIONS 5) APPLICATION OF THE TAYLOR’S EXPANSION 6) SCALAR WAVE EQUATION 7) THE FINITE-DIFFERENCE TIME-DOMAIN TECHNIQUE 8) PRAGMATIC SIMULATION OF OPTICAL PROBLEMS College of Electrical Engineering & Computer Science PREREQUISITES: – GENERAL PHYSICS – CALCULUS – ELECTROMAGNETISM – BASIC PROGRAMMING SKILLS (MATLAB, FORTRAN, OR C/C++) GRADING FACTORS: ASSIGNMENTS: 35% MIDTERM EXAM: 25% FINAL EXAM: 30% PARTICIPATION IN CLASS : 10% GRADING FACTORS INCLUDE AN ASSESSMENT OF STUDENTS’ UNDERSTANDING OF THE COURSE CONTENT, PARTICIPATION IN CLASS, AND THEIR ABILITY IN COMPLETING THE ASSIGNMENTS. SIMULATION ASSIGNMENTS ARE DESIGNED TO PREPARE STUDENTS WITH HANDS-ON EXPERIENCE OF LIGHT PROPAGATION SIMULATION. STUDENTS ARE EXPECTED TO BECOME FAMILIAR WITH MATLAB. MIDTERM AND FINAL EXAMS WILL SERVE THE PURPOSE TO EVALUATE STUDENTS’ LEARNING PROGRESS. GRADES THUS ARE GIVEN BASED UPON STUDENTS’ ABILITY IN CARRYING OUT THE ASSIGNMENTS AND THEIR PERFORMANCE IN THE MIDTERM AND FINAL EXAMS. Wednesday 789 OE5047 3

1. Review of Random Variables (Papoulis, Chaps. 1-7, and class note) 2. Introduction to Random Processes: General Concepts and Spectral Analysis (Papoulis, Chap. 9, and class note) 3. Gaussian Random Vectors and Gaussian Random Processes (Larson & Shubert, class note) 4. Signal Representation — Karhunen-Love Expansion (Papoulis, Chap. 11, and class note) 5. Narrowband Processes and Bandpass Systems (Davenport and Root, and class note) 6. Poisson Processes (Larson & Shubert, Leon-Garcia, and class note) 7. Markov Processes and Markov Chains (Larson & Shubert, Leon-Garcia, and class note) 8. Queuing Systems (Leon-Garcia) 9. Random Walk Processes and Brownian Motion Processes (Leon-Garcia) The purpose of this course is to provide students with a solid and pertinent mathematical background for thoroughly understanding digital communications and communication networks. It is a prerequisite for advanced study of numerous communication applications, including wireless communications, mobile communications, communication networks, spread spectrum communications, satellite communications, optical communications, radar and sonar signal processing, signal synchronization, etc. The students majoring in communications and networks are strongly recommended to take this course. The course consists of lectures organized in class notes. College of Electrical Engineering & Computer Science Prerequisite: Probability and Statistics. Grading Policy: There will be six homeworks, one every three weeks, one midterm exam, and one final exam. The grading policy is “Homeworks: 30%; Midterm: 35%; Final: 35%”. CHAR-DIR CHUNG Friday 789 EE5041 3

THIS COURSE IS OFFERED FOR ELECTRICAL ENGINEERING DEPARTMENT AND GRADUATE INSTITUTE OF ELECTRONICS ENGINEERING.

THIS COURSE IS GRADUATE-LEVEL AND SUITABLE FOR SENIOR UNDERGRADUATE STUDENTS AND GRADUATE STUDENTS.

IT IS A SELECTIVE COURSE AND CONTAINS 13 CHAPTERS.

1: BASIC MOS DEVICE PHYSICSCHAPTER

2: SINGLE-STAGE AMPLIFIERSCHAPTER

3: DIFFERENTIAL AMPLIFIERSCHAPTER

4: PASSIVE AND ACTIVE CURRENT MIRRORS CHAPTER

5: FREQUENCY RESPONSE OF AMPLIFIERSCHAPTER

6: NOISECHAPTER

7: FEEDBACKCHAPTER

8: OPERATIONAL AMPLIFIERSCHAPTER

9: STABILITY AND FREQUENCY COMPENSATIONCHAPTER

10: SWITCH-CAP CIRCUITSCHAPTER

11: BANDAGE REFERENCESCHAPTER

12: NONLINEARITY AND MISMATCHCHAPTER

13: LAYOUT AND PACKAGING
College of Electrical Engineering & Computer Science STUDENTS ARE EXPECTED TO KNOW SOME FUNDAMENTALS OF CIRCUITS AND ELECTRONIC CIRCUITS. GRADING 1. 20% HOMEWORK+ 30% MIDTERM+ 30% FINAL+ 20% PROJECT JRI LEE Friday 789 EE5112 3

1. Introduction of Queueing Model and Review of Markov Chain 2. Simple Markovian Birth and Death Queueing Models (M/M/1, etc) 3. Advanced Markovian Queueing Models 4. Jackson Queueing Networks 5. Models with General Arrival or Service Pattern (M/G/1, G/M/1) 6. Discrete-Time Queues and Applications in Networking To provide the basic knowledge in queueing models and the analysis capability of the queueing models in telecommunications, computers, and industrial engineering College of Electrical Engineering & Computer Science Midterm 45% Final Exam 45% Homework (including programming and simulations) 10% ZSEHONG TSAI Wednesday 789 EE5039 3