Prerequisites: consent of instructor. Possible topics include minimum-variance unbiased estimators, maximum likelihood estimation, likelihood ratio tests, resampling methods, linear logistic regression, feature selection, regularization, dimensionality reduction, manifold detection. Students may not receive credit for CSE 185 and BIMM 185. Equivalent to MATH 166. Companion to CSE 252B covering complementary topics. Modularity and abstraction. Department stamp required. Polynomial-time hierarchy (PH), BPP in second level of PH, Savitch’s theorem, NL=coNL, nonuniform and circuit complexity, some circuit lower bounds, IP=PSPACE, probabilistic proof checking (PCP), application of PCP to approximation hardness, complexity of proof systems, parallel complexity classes NC and AC, P-completeness. Comprehensive introduction to computer vision System design project from hardware description, logic synthesis, physical layout to design verification. and St. Peter’s Basilica.

Graduate students will be allowed as space permits. Programming methods and compilation for embeddable software.

These course materials will complement your daily lectures by enhancing your learning and understanding. Prerequisites: CSE 12 or consent of instructor. Robot Systems Design and Implementation (4). Recommender Systems and Web Mining (4). Prerequisites: COGS 7 or CSE 8B or CSE 11.

This course covers advanced topics in computer architecture. Prerequisites: Pharm 201, BENG 202/CSE 282, or consent of instructor. Section will cover material relevant to the project, such as research methods, software engineering, teamwork, and project management. All other students will be allowed as space permits.

Undergraduate students may petition to use graduate level course work toward their elective requirements. Current methods for data mining and predictive analytics. All other students will be allowed as space permits.

Students will be selected by the UC San Diego Office of Undergraduate Admissions based on the students’ holistic review scores and availability of slots in the Department of Computer Science and Engineering. All other students will be allowed as space permits. upon graduation. Score of 4 exempts CSE 8A; students should take CSE 11. code optimization, and debugging interpreters. This advanced course covers the application of machine learning and modeling techniques to biological systems. An accelerated introduction to computer science and programming using the Java language. General Catalog 2020–21     Enrollment is limited to twenty students, with preference given to seniors. of Computer Operating Systems (4).
Student pairs perform a quarter-long mini research project that leverages campus research efforts. Students must complete one quarter of ENG 100 for two units, and two quarters of ENG 100L for a total of four units. All four-unit upper-division MAE courses from MAE 100–MAE 189, except MAE 140 (ONLY Computer Science majors may take MAE 140). By requiring fewer electives, the BA computer science program serves those students desiring more time for undergraduate studies outside their major subject. Computer Graphics II: Rendering (4). Introduction to the C language, including functions, arrays, and standard libraries. The course will use small home assignments tasks and a larger robot project to exercise the topics covered in class. syntax-directed translation, type checking, code generation, optimization,

Models of language processing, memory, sequential processes, and vision. Prerequisites: (DSC 40B or MATH 18 or MATH 31AH or MATH 20F) and (CSE 100 or DSC 80 or MATH 176); restricted to sophomore, junior, and senior students. Graduate students will be allowed as space permits. Weekly programming assignments that will cover graphics rendering algorithms. Recommended preparation: No previous background in machine learning is required, but students should be comfortable with programming (all example code will be in Python), and with basic optimization and linear algebra.

CSE 3. The graduate analogue, CSE 291, applies to this twelve unit maximum, as well. This course focuses on design and evaluation of three-dimensional (3-D) user interfaces, devices, and interaction techniques. Prerequisites: Linear Algebra is recommended. Topics include an overview of many aspects of computer graphics, including the four main computer graphics areas of animation, modeling, rendering, and imaging. General principles in modern software engineering. All other students will be allowed as space permits. Filter design, sampling, Fourier and wavelet transforms.

Electives: Three additional courses (twelve units) chosen from CSE upper-division courses. Students will review seminal and recent papers in the field and engage in team-based projects with physical, mobile robots. Topics include shortest paths, flows, linear, integer, and convex programming, and continuous optimization techniques such as steepest descent and Lagrange multipliers.

Continuation of the Java language. CSE 255. Emphasis is on software system design applied to a single, large group project with close interaction with instructor. Department stamp required. Transport protocols. Prerequisites: CSE 135. CSE 599. Bioinformatics II: Sequence and Structure Analysis—Methods and Applications (4). (Offered as faculty resources permit. All other students will be allowed as space permits. (S/U grades only.) end of their sophomore year. Prerequisites: (CSE 12 or DSC 40B) and (CSE 15L or DSC 80) and (CSE 103 or ECE 109 or MATH 181A or ECON 120A or MATH 183); restricted to CS25, CS26, CS27, CS28, EC26, and DS25 majors. All other students will be allowed as space permits. UC San Diego students who wish to change from another major into one of CSE’s capped majors may apply to the Department of Computer Science and Engineering for admission into the BA computer science, BS computer science, BS computer engineering, or BS computer science with specialization in bioinformatics major. Includes basic concepts and some practical skills with computer and networks. In Projection, illumination, and shading models. (P/NP grades only.) Graduate students will be allowed as space permits. Errors, Defects, and Failures (4). Prerequisites: CSE 202 preferred or consent of instructor. Courses numbered 1 through 99 are lower-division courses and are normally open to first-year students and sophomores. May be repeated for credit a maximum of three times (maximum of twelve units; courses must be taken for a different topic). (Renumbered from CSE 123B.) Computational and hw/sw system prototypes. Students may not receive credit for CSE 276D and CSE 291 (H00) taught spring 2017 with the same subtitle. Course topics include shared autonomy, perception of people and context, coordination, collaboration, human-guided learning, robot design, and experimental robotics. Prerequisites: MATH 20A-B and MATH 184A or CSE 21 or MATH 154; restricted to CS25, CS26, CS27, and CS28 majors. Admission to CSE’s capped majors is limited for all continuing UC San Diego students, effective fall 2015. All courses, course descriptions, faculty listings, curricular and degree requirements, deadlines, and fees described herein are subject to change or deletion without notice. As a result, Regents of the University of California. Software timing and functional validation. Assignments given to provide practical experience. Admission directly into one of CSE’s capped majors is limited for transfer students, effective fall 2015. 2020–21; Past catalogs. Areas covered: Flynn’s taxonomy, processor-memory organizations, shared and nonshared memory models: message passing and multithreading, data parallelism; speedup, efficiency and Amdahl’s law, communication and synchronization, isoefficiency and scalability. Topics of special interest in computer architecture to be presented by faculty and students under faculty direction. CSE 203B. CSE 168. and recognition, object detection, and image-based rendering. Teaching Methods in Computer Science (2). Prerequisites: CSE 167; restricted to CS25, CS26, CS27, and EC26 majors. CSE 206A. Aided Circuit Simulation and Verification (4). One frequently deals with problems in engineering, data science, business, economics, and other disciplines for which algorithmic solutions that optimize a given quantity under constraints are desired. CSE 15L.

This will be a fully online class based on extensive educational materials and online educational platform Stepik developed with HHMI, NIH, and ILTI support. Constraint and interface modeling. Prerequisites: CSE 130 or equivalent, or consent of instructor. The course will provide a comprehensive introduction to the key mathematical concepts used for modeling, implementing, and evaluation of robot systems. Music festivals and Greek life, beach parties … Prerequisites: MATH 18 or MATH 20F or MATH 31AH and CSE 100 or DSC 40B or MATH 176 and CSE 101 or DSC 80 or MATH 188; restricted to students with sophomore, junior, or senior standing within the CS25, CS26, CS27, CS28, and EC26 majors.
Can be repeated for credit. UC San Diego 9500 Gilman Dr. La Jolla, CA 92093 (858) 534-2230. CSE 237B. providing focused coverage of multiview geometry, structure Example topics include real-time systems for 3D computer vision, machine learning tools such as support-vector machine (SVM) and boosting for image classification, and deep neural networks for object detection and semantic segmentation. Prerequisites: CSE 100; restricted to students with junior or senior standing within the CS25, CS26, CS27, CS28, and EC26 majors. Possible areas of focus include distributed computing, computational grid, operating systems, fault-tolerant computing, storage systems, system services for the World Wide Web. Students may not receive credit for COGS 120 and CSE 170. System Design and Implementation (4). Regents of the University of California. Computer Graduate students allowed as space permits.

CSE 148. Prerequisites: CSE 123A or CSE 222A, or consent of instructor. Possible areas of focus include core database issues, Prerequisites: restricted to undergraduates. Prerequisites: CSE 8B or CSE 11, and concurrent enrollment with CSE 15L; restricted to undergraduates. All major requirements and upper-division electives except CSE 91, 95, 197, 198, or 199 must be taken for a letter grade.

Topics include an overview of various aspects of bioinformatics and will simultaneously introduce students to programming in Python. Students may not receive credit for both MATH 155A and CSE 167. CSE 199. CSE 240A recommended. approval, and corequisite of CSE 4GS. Prior exposure to robotics, computer vision, or machine learning is recommended. All other students will be allowed as space permits. CSE 135. Prerequisites: instructor approval required to ensure sufficient programming and project experience to be successful in the course. Matrix notation. Prerequisites: (CSE 21 or MATH 154 or MATH 184A) and (CSE 120 or CSE 123 or CSE 124); restricted to students with sophomore, junior, or senior standing within the CS25, CS26, CS27, CS28, and EC26 majors. Prerequisites: graduate standing or consent of instructor. Note: The departmental websites referenced in the catalog may not necessarily reflect approved curricular and course information. CSE 8B or CSE 11 may be taken concurrently with CSE 20/MATH 15A. Senior seminars may be taken for credit up to four times, with a change in topic, and permission of the department. All other students will be allowed as space permits.

Recommended preparation: CSE 103 or similar. Courses numbered 87 are First-year Student Seminars. techniques as applied to software design.

(S/U grades permitted.) For final projects, Programming experience, familiarity with the UNIX command line, and a basic course in probability and statistics are strongly recommended.

support environments.