MS&E 20: Discrete Probability Concepts And Models
Concepts and tools for the analysis of problems under uncertainty, focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, belief networks, random variables, conditioning, and expectation.
Terms: Sum

Units: 4

UG Reqs: WAYFR

Grading: Letter (ABCD/NP)
Instructors:
Shachter, R. (PI)
MS&E 93Q: Nuclear Weapons, Energy, Proliferation, and Terrorism
Preference to sophomores. At least 20 countries have built or considered building nuclear weapons. However, the paths these countries took in realizing their nuclear ambitions vary immensely. Why is this the case? How do the histories, cultures, national identities, and leadership of these countries affect the trajectory and success of their nuclear programs? This seminar will address these and other questions about nuclear weapons and their proliferation. Students will learn the fundamentals of nuclear technology, including nuclear weapons and nuclear energy, and be expected to use this knowledge in individual research projects on the nuclear weapons programs of individual countries. Case studies will include France, UK, China, India, Israel, Pakistan, North Korea, South Africa, Libya, Iraq, and Iran, among others. Please note any language skills in your application. Recommended: 193 or 193W or 293.
Terms: Spr

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter or Credit/No Credit
Instructors:
Hecker, S. (PI)
MS&E 101: Undergraduate Directed Study
Subject of mutual interest to student and faculty member. Prerequisite: faculty sponsor.
Terms: Aut, Win, Spr, Sum

Units: 115

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Bambos, N. (PI)
;
Barley, S. (PI)
;
Brandeau, M. (PI)
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more instructors for MS&E 101 »
Instructors:
Bambos, N. (PI)
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Barley, S. (PI)
;
Brandeau, M. (PI)
;
Byers, T. (PI)
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Chiu, S. (PI)
;
Dunn, D. (PI)
;
Eesley, C. (PI)
;
Eisenhardt, K. (PI)
;
Giesecke, K. (PI)
;
Glynn, P. (PI)
;
Goel, A. (PI)
;
Hausman, W. (PI)
;
Hecker, S. (PI)
;
Hinds, P. (PI)
;
Holtzman, S. (PI)
;
Howard, R. (PI)
;
Infanger, G. (PI)
;
Johari, R. (PI)
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Johnson, B. (PI)
;
Katila, R. (PI)
;
Kosnik, T. (PI)
;
Luenberger, D. (PI)
;
May, M. (PI)
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McGinn, R. (PI)
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Murray, W. (PI)
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PateCornell, E. (PI)
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Perry, W. (PI)
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Pietzsch, J. (PI)
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Robinson, B. (PI)
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Roizen, J. (PI)
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Saberi, A. (PI)
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Saunders, M. (PI)
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Savage, S. (PI)
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Seelig, T. (PI)
;
Shachter, R. (PI)
;
Sutton, R. (PI)
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Sweeney, J. (PI)
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Tabrizi, B. (PI)
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Tse, E. (PI)
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Valentine, M. (PI)
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Van Roy, B. (PI)
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Weyant, J. (PI)
;
Ye, Y. (PI)
MS&E 111: Introduction to Optimization (ENGR 62)
Formulation and analysis of linear optimization problems. Solution using Excel solver. Polyhedral geometry and duality theory. Applications to contingent claims analysis, production scheduling, pattern recognition, twoplayer zerosum games, and network flows. Prerequisite:
MATH 51.
Terms: Aut, Spr

Units: 4

UG Reqs: GER:DBEngrAppSci

Grading: Letter or Credit/No Credit
Instructors:
Goel, A. (PI)
;
Saberi, A. (PI)
MS&E 120: Probabilistic Analysis
Concepts and tools for the analysis of problems under uncertainty, focusing on focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems. Prerequisite:
MATH 51.
Terms: Aut

Units: 5

UG Reqs: GER:DBEngrAppSci, WAYAQR, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Shachter, R. (PI)
MS&E 121: Introduction to Stochastic Modeling
Stochastic processes and models in operations research. Discrete and continuous time parameter Markov chains. Queuing theory, inventory theory, simulation. Prerequisite: 120 or Statistics 116.
Terms: Win

Units: 4

UG Reqs: GER:DBEngrAppSci

Grading: Letter or Credit/No Credit
Instructors:
Glynn, P. (PI)
MS&E 130: Information Networks and Services
Architecture of the Internet and performance engineering of computer systems and networks. Switching, routing and shortest path algorithms. Congestion management and queueing networks. Peertopeer networking. Wireless and mobile networking. Information service engineering and management. Search engines and recommendation systems. Reputation systems and social networking technologies. Security and trust. Information markets. Select special topics and case studies. Prerequisites: 111, 120, and
CS 106A.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
Instructors:
Bambos, N. (PI)
MS&E 140: Accounting for Managers and Entrepreneurs (MS&E 240)
Nonmajors and minors who have taken or are taking elementary accounting should not enroll. Introduction to accounting concepts and the operating characteristics of accounting systems. The principles of financial and cost accounting, design of accounting systems, techniques of analysis, and cost control. Interpretation and use of accounting information for decision making. Designed for the user of accounting information and not as an introduction to a professional accounting career. Enrollment limited. Admission by order of enrollment.
Terms: Aut, Win, Spr

Units: 34

Grading: Letter or Credit/No Credit
Instructors:
Stanton, F. (PI)
MS&E 142: Introductory Financial Analysis
Evaluation and management of money, complicated by temporary distributions and uncertainty. The ¿timevalue of money" and its impact on economic decisions (both personal and corporate) with the introduction of interest rate (constant or varying over time); several approaches critically examined and made consistent as suitable metrics of comparison. The concept of investment diversification in the presence of uncertainty; portfolio selection and efficient frontier analysis leading to the formulation of the Capital Asset Pricing Model; practical implementation of the concepts, including comparison of loan (e.g., house and auto) terms, credit card financial terms, interest rate term structure and its relationship to rateofreturn analysis, and graphical presentation of uncertain investment alternatives; and current economic news of interest. Critical thinking, discussion, and interaction, using group and computer labs assignments. Prerequisites: differential calculus and probability. Recommended: optimization.
Terms: Aut

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Chiu, S. (PI)
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