Cox's College Courses

CS 161: Computer Security | Introduction to computer security. Cryptography, including encryption, authentication, hash functions, cryptographic protocols, and applications. Operating system security, access control. Network security, firewalls, viruses, and worms. Software security, defensive programming, and language-based security. Case studies from real-world systems.

CS 186: Introduction to Database Systems | Access methods and file systems to facilitate data access. Hierarchical, network, relational, and object-oriented data models. Query languages for models. Embedding query languages in programming languages. Database services including protection, integrity control, and alternative views of data. High-level interfaces including application generators, browsers, and report writers. Introduction to transaction processing. Database system implementation to be done as term project.

LS C30T: Drugs and the Brain | The history, chemical nature, botanical origins, and effects on the human brain and behavior of drugs such as stimulants, depressants, psychedelics, analgesics, antidepressants, antipsychotics, steroids, and other psychoactive substances of both natural and synthetic origin. The necessary biological, chemical, and psychological background material for understanding the content of this course will be contained within the course itself.

CS C100: Principles & Techniques of Data Science | In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.

CS 170: Efficient Algorithms and Intractable Problems | Concept and basic techniques in the design and analysis of algorithms; models of computation; lower bounds; algorithms for optimum search trees, balanced trees and UNION-FIND algorithms; numerical and algebraic algorithms; combinatorial algorithms. Turing machines, how to count steps, deterministic and nondeterministic Turing machines, NP-completeness. Unsolvable and intractable problems.

CS 188: Introduction to Artificial Intelligence | Ideas and techniques underlying the design of intelligent computer systems. Topics include search, game playing, knowledge representation, inference, planning, reasoning under uncertainty, machine learning, robotics, perception, and language understanding.

Slavic 134C: Dostoevsky | In this course, we will read Dostoevsky's major works, Notes from Underground, Crime and Punishment, The Brothers Karamazov, focusing on concerns literature shares with psychology, philosophy and ethics. Analyzing aspects of literary form (character, plot, genre, narrative, intertextuality, symbolism), we will discuss how Dostoevsky’s novels explore the workings of the human mind, the drama of interpersonal intimacy, conceptions of self, the relationship between self and other, the choice between faith and nonbelief, the idea of transgression, crime, justice, and redemption, and more. Dostoevsky's novels are not only profound examinations of the human condition: they are also exciting, nasty, ironic and often funny, and in this class students enjoy reading books.

UGBA 106: Marketing | The evolution of markets and marketing; market structure; marketing cost and efficiency; public and private regulation; the development of marketing programs including decisions involving products, price, promotional distribution.

CS 61C: Great Ideas in Computer Architecture (Machine Structures) | The internal organization and operation of digital computers. Machine architecture, support for high-level languages (logic, arithmetic, instruction sequencing) and operating systems (I/O, interrupts, memory management, process switching). Elements of computer logic design. Tradeoffs involved in fundamental architectural design decisions.

EE 16A: Foundations of Signals, Dynamical Systems, and Information Processing | This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.

Engin 120: Principles of Engineering Economics | Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. Different methods of evaluation of alternatives. Minimum-cost life and replacement analysis. Depreciation and taxes. Uncertainty; preference under risk; decision analysis. Capital sources and their effects. Economic studies.

History 162A: Europe and the World: Wars, Empires, Nations 1648-1914 | This upper division course looks at the rise and fall of the European great powers from the Peace of Westphalia, traditionally perceived as the beginning of the modern states system, to the coming of the First World War, an era of state and empire building. Economic and technological trends are naturally part of the story as well as cultural, social, and political forces. At the same time, the course highlights the decisive influence of the shakers and movers--kings, emperors, and generals.

Math 54: Linear Algebra & Differential Equations | Basic linear algebra; matrix arithmetic and determinants. Vector spaces; inner product spaces. Eigenvalues and eigenvectors; linear transformations, symmetric matrices. Linear ordinary differential equations (ODE); systems of linear ODE. Fourier series.

Stat 20: Introduction to Probability and Statistics | For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

Econ 101A: Economic Theory--Micro | This course introduces students to the main tools and concepts of microeconomics. These tools and concepts will serve as a foundation for many upper level economics courses. Topics covered include consumer theory, producer theory, equilibrium in a competitive market, monopoly, general equilibrium, game theory, and asymmetric information. Topics covered are similar to those in 100A, but this course uses calculus more intensively and is intended for students with a strong mathematical background.

ESPM 114: Wildlife Ecology | Introduction to wildlife ecology and its relationship to management programs. Includes population, community, and ecosystem levels of organization, followed by selected case studies.

CS 61B: Data Structures | Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

CS 70: Discrete Mathematics and Probability Theory | Logic, infinity, and induction; applications include undecidability and stable marriage problem. Modular arithmetic and GCDs; applications include primality testing and cryptography. Polynomials; examples include error correcting codes and interpolation. Probability including sample spaces, independence, random variables, law of large numbers; examples include load balancing, existence arguments, Bayesian inference.

Econ 100B: Economic Analysis--Macro | This course introduces students to the main approaches economists use to describe how the economy works at the aggregate level. Topics covered include economic growth, business cycles, the determinants of aggregate employment, unemployment, and inflation, and the effects of monetary and fiscal policy. This course makes use of calculus. Topics covered are similar to those in 101B.

English R1B: "One Fine Day": Diurnal Narratives of the 20th Century | Some of the most powerful stories we tell are constrained within the temporal limits of a single day. This course embraces "the day" as a significant unit of narrative time, exploring diurnal fictions as vital sites of personal reflection, dull routine, social change, self-identity, anticipation, and surprise. Focusing on the textures and sensations of everyday life (as well as their disruption), the theoretical basis of the course will lie in some canonical studies of time, consciousness, and the everyday, such as the writings of Hannah Arendt, Susan Sontag, Maurice Merleau-Ponty, and Michel de Certeau. Fictional texts will include excerpts from James Joyce's Ulysses, novels by Virginia Woolf, Aleksandr Solzhenitsyn, Christopher Isherwood, and Nicholson Baker, the poetry of T.S. Eliot and Frank O'Hara, short stories by Raymond Carver and John Updike, the drama of Harold Pinter, and films like Cat on a Hot Tin Roof, Roman Holiday, The Rocky Horror Picture Show, Goundhog Day, Jeanne Dielman, Ferris Bueller's Day Off, and The Hours.

Dutch 177: The Amsterdam-Brussels Connection: The Art, History, and Literature of the Netherlands and Flanders | A Berkeley summer abroad course. With the 17th-century "Golden Age" as its starting point, the course traces the important cultural developments in Holland and Belgium (Flanders) up to the present. The interdisciplinary curriculum provides a clear picture of these two contrasting monarchies. The historical, cultural, and linguistic relationship is a constant focus of the course. The literature (documentary and fiction) concentrates on the Holocaust in the Low Countries. Students will engage with their subject matter not only in daily lectures, but also as eyewitnesses through regular field trips to museums and historical sites in Amsterdam, The Hague, Haarlem, Delft, Antwerp, Bruges, Ghent, Brussels, and other cities. Visits to the Royal Palace in Amsterdam, the House of Representatives, an interactive criminal trial, attendance at the International Court of Arbitration in The Hague, and the European Parliament in Brussels are included in the course.

Econ 2: Introduction to Economics--Lecture Format | Econ 2 provides an overview of the field of economics. It covers both microeconomics, the study of consumer choice, firm behavior, and market interaction, and macroeconomics, the study of economic growth, unemployment, and inflation. Econ 2 has longer lectures than Econ 1. Econ 2 covers topics in greater depth with more connection with current economic research. The required material includes both the standard textbook material as well as more technical academic papers from the current economic literature. It is particularly suited for intended economics majors.

Anthro 3AC: Introduction to Social/Cultural Anthropology | The structure and dynamics of human cultures and social institutions from a comparative perspective with special attention to American cultures and their roots. Case studies will illustrate the principles presented in the course.

Classics 24: The Iliad | Freshman seminar on the Iliad. Read the Iliad by Homer in its entirety.

English 117S: Shakespeare | Lectures on Shakespeare and reading of his best works.

UGBA 10: Principles of Business | This team-taught course provides an introduction to the study of the modern business enterprise. It consists of four modules, the order of which may vary from semester to semester, and an online business simulation that runs during most of the semester. The four modules cover: Finance & Accounting, Marketing, Operations & Sustainability, and Leadership. In addition to lectures and the simulation, students attend discussion section each week.

CS 61A: The Structure and Interpretation of Computer Programs | An introduction to programming and computer science focused on abstraction techniques as means to manage program complexity. Techniques include procedural abstraction; control abstraction using recursion, higher-order functions, generators, and streams; data abstraction using interfaces, objects, classes, and generic operators; and language abstraction using interpreters and macros. The course exposes students to programming paradigms, including functional, object-oriented, and declarative approaches. It includes an introduction to asymptotic analysis of algorithms. There are several significant programming projects.

Math 53: Multivariable Calculus | Parametric equations and polar coordinates. Vectors in 2- and 3-dimensional Euclidean spaces. Partial derivatives. Multiple integrals. Vector calculus. Theorems of Green, Gauss, and Stokes.

UGBA C5: Introduction to Entrepreneurship | This course is designed for freshmen and sophomores who wish to know about entrepreneurship, its importance to our society, and its role in bringing new ideas to market. Students will understand the entrepreneurial business process and how they might become involved in those processes in their future careers--in whatever direction those careers might lead. This class will explore the structure and framework of entrepreneurial endeavors--both inside and outside the business world. The course will answer questions such as: What is entrepreneurship? What is opportunity recognition and selection? How can you create and define competitive advantage? How can you think about people in the entrepreneurial context? How can you garner support (financial and other) for an entrepreneurial venture? What do you do when nothing works as planned? And, how do you focus on doing right and doing well?

English R1A: The Ick Factor | N/A (Waiting for my old prof to respond to an email)

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