Introduction to the efficient management of large-scale data. Principles for representing information in the relational model and semi-structured data models (XML, JSON); query languages for analyzing and manipulating data (SQL and others); core systems principles for data management (file organizations, query optimization, indexing, distributed data processing, concurrency control). The colloquium will focus on advanced topics and recent research topics related to information management and data science.

Development of individual skills necessary for designing, implementing, testing and modifying larger programs: use of various modern automated tools, design strategies and patterns, working with large code bases and libraries, code refactoring.

This course introduces the fundamental concepts of two-dimensional (2D) and three-dimensional (3D) computer graphics. It covers the basic methods needed to model, render, and animate 3D objects. Topics include raster displays, line drawing, affine and perspective transformations, windows and viewpoints, clipping, visibility, illumination models, reflectance models, radiometry, curves and surfaces, shading, texture mapping, ray tracing, graphic toolkits, animation, and 3D printing.

Introduction to formal language theory. Topics include finite state languages, context-free languages, the relationship between language classes and formal machine models, the Turing Machine model of computation, theories of computability, resource-bounded models, and NP-completeness. It is recommended that students have a 'B-' or better in CMPSCI 311 in order to attempt CMPSCI 501.

Introduces students to the principal activities involved in developing high-quality software systems. Topics include: requirements analysis, formal specification methods, process definition, software design, and risk management.

Introduction to the efficient management of large-scale data. Principles for representing information in the relational model and semi-structured data models (XML, JSON); query languages for analyzing and manipulating data (SQL and others); core systems principles for data management (file organizations, query optimization, indexing, distributed data processing, concurrency control).

Practical experience in the management of software development projects. Managing people, coaching, mentoring, planning, scheduling, evaluation, negotiation, and expectation management are explored. The focus is on the power of communication.

Satisfies the Junior Year Writing requirement. The impact of computers on modern society. Prerequisites: CMPSCI major; ENGLWRIT 112 or equivalent.

Development of mathematical reasoning skills for problems that involve uncertainty. Counting and probability, probabilistic reasoning, Naive Bayes classifiers, Monte Carlo simulation, Markov chains, Markov decision processes, classical game theory, and introduction to information theory.

Lecture, discussion. Basic concepts of discrete mathematics useful to computer science: set theory, strings and formal languages, propositional and predicate calculus, relations and functions, basic number theory. Induction and recursion: interplay of inductive definition, inductive proof, and recursive algorithms. Graphs, trees, and search. Finite-state machines, regular languages, nondeterministic finite automata, Kleene's Theorem. Problem sets, 2-3 midterm exams, timed final.