UC Davis 2008-2010 General Catalog - General Catalog - UC Davis

More documents

Recommendations

Info

252 Engineering: Computer Science 197T. Tutoring in Computer Science (2-3) Discussion—1 hour; laboratory/discussion—3-6 hours. Prerequisite: upper division standing, consent of instructor. Tutoring in computer science courses, especially introductory courses. (P/NP grading only.) 198. Directed Group Study (1-5) Prerequisite: consent of instructor. (P/NP grading only.) 199. Special Study for Advanced Undergraduates (1-5) (P/NP grading only.) Graduate Courses 201A. Advanced Computer Architecture (4) Lecture—3 hours; term paper. Prerequisite: course 154B or Electrical and Computer Engineering 170; course 150. Modern research topics and methods in computer architecture. Design implications of memory latency and bandwidth limitations. Performance enhancement via within-processor and between-processor parallelism. Term project involving studentproposed extensions/modifications of work in the research literature. Not open for credit to students who have completed course 250A.—I. Farrens 201B. High-Performance Uniprocessing (4) Lecture—3 hours; term paper. Prerequisite: course 201A. Maximizing uniprocessor performance. Barriers to high performance; solutions to the problems; historical and current processor designs. Not open for credit to students who have completed course 250B.—II. Farrens 201C. Parallel Architectures (4) Lecture—3 hours; project—1 hour. Prerequisite: course 201A. Evolution of parallel architectures from special-purpose machines to commodity servers. Emphasis on recent machines and applications that drive them. Not open for credit to students who have completed course 250C.—III. 203. Novel Computing Technologies (4) Lecture—3 hours; project—1 hour. Prerequisite: course 201A. Novel computing technologies that could revolutionize computer architecture. Quantum computing technologies, including algorithms, devices, and fault tolerance. A survey of other unconventional technologies including nanoscale electronics, MEMS devices, biological devices, and nanotechnology. Offered in alternate years.—II. 220. Theory of Computation (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 120, 122A. Time and space complexity classes. Reductions, completeness, and the role of randomness. Logic and undecidability.—III. Rogaway 222A. Design and Analysis of Algorithms (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 122A; Statistics 131A recommended. Techniques for designing efficient algorithms, analyzing their complexity and applying these algorithms to a broad range of applications. Methods for recognizing and dealing with difficult problems.—I, II. (I, II.) Amenta, Franklin, Gusfield, Martel, Rogaway 222B. Advanced Design and Analysis of Algorithms (4) Lecture—3 hours; project—1 hour. Prerequisite: course 222A. Advanced topics in complexity theory. Problem classification. The classes P, NP, P-space, co-NP. Matching and network flow algorithms. Matrix multiplication. Approximation algorithms.— III. (III.) Gusfield, Franklin, Martel, Rogaway 223. Parallel Algorithms (4) Laboratory/discussion—3 hours; project—1 hour. Prerequisite: course 222A. Models of parallel computer systems including PRAMs, loosely coupled systems and interconnection networks. Parallel algorithms for classical problems and general techniques for their design and analysis. Proving lower bounds on parallel computation in several settings.—II. (II.) Martel 224. String Algorithms and Applications in Computational Biology (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 122A. Algorithms that operate on strings. Pattern matching, sets of patterns, regular expression pattern matching, suffix trees and applications, inexact similarity, parametric sequence alignment, applications to DNA sequencing and protein database searching. Offered in alternate years—I, III. Gusfield, Filkov 225. Graph Theory (3) Lecture—3 hours. Prerequisite: graduate standing in electrical engineering or computer science or consent of instructor. Fundamental concepts. Vector spaces and graphs. Planar graphs: Whitney’s and Kuratowski’s theorems. Topological parameters: packings and coverings. Connectivity: Menger’s theorem. Hamilton graphs: Posa’s and Chvatal’s theorems. Graph factorization: Tutte’s theorem. Graph coloring: Brooks; and Vizing’s theorem.—II. (II.) Franklin 226. Computational Geometry (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 175, 222A. Mathematics of unstructured data. Algorithms for data structures such as Voronoi diagrams, oct-trees, and arrangements. Applications in computer graphics, concentrating on problems in three-dimensions. Offered in alternate years.—III. Amenta, Max 227. Modern Cryptography (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 220 or 222A. Modern cryptography as a discipline emphasizing formal definitions and proofs of security. One-way functions, pseudo-randomness, encryption, digital signatures, zero-knowledge, secure protocols.—II. (II.) Rogaway 228. Cryptography for E-Commerce (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 222A. Cryptographic primitives and protocols of importance to e-commerce, present and future, including content distribution mechanisms, payment mechanisms, pricing mechanisms, anonymity and privacy mechanisms, fair exchange mechanisms. Offered in alternate years.—II. Franklin 229. Advanced Computational Structural Bioinformatics (4) Lecture—3 hours; discussion—1 hour. Prerequisite: graduate standing. Algorithmic problems in structural biology; protein structure classification; protein structure prediction (including comparative modeling and ab initio protein structure prediction); molecular simulations (molecular dynamics and Monte Carlo simulations).—II. (II.) Koehl 230. Applied Numerical Linear Algebra (4) Laboratory/discussion—3 hours; discussion—1 hour. Prerequisite: course 130 or Engineering Applied Science 209 or Mathematics 167. Numerical linear algebra (NLA) with emphasis on applications in engineered systems; matrix factorizations; perturbation and rounding error analyses of fundamental NLA algorithms. Offered in alternate years.—(I.) Bai 231. Large-Scale Scientific Computation (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 130. Algorithms and techniques for largescale scientific computation, including basics for high performance computing, iterative methods, discrete approximation, fast Fourier transform, Poisson solvers, particle methods, spectral graph partition and its applications. Offered in alternate years.—II. Bai 234. Computational Functional Genomics (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 124; graduate standing in Computer Science or Life Sciences. Bioinformatics methods for analysis and inference of functional relationships among genes using large-scale genomic data, including methods for integration of gene expression, promoter sequence, TF-DNA binding and other data, and approaches in modeling of biological networks.—II. (II.) Filkov 235A. Computer and Information Security (4) Lecture—3 hours; project. Prerequisite: course 150; course 152A recommended. Modern topics in computer security, including: protection, access control, operating systems security, network security, applied cryptography, cryptographic protocols, secure programming practices, safe languages, mobile code, malware, privacy and anonymity, and case studies from real-world systems. Not open for credit to students who have taken course 235.—I. (I.) Chen 235B. Foundations of Computer and Information Security (4) Lecture—3 hours; project. Prerequisite: course 235A; courses 120, 150 recommended. Theoretical foundations of methods used to protect data in computer and communication systems. Access control matrix and undecidability of security; policies; Bell- LaPadula, Biba, Chinese Wall models; non-interference and non-deducibility; information flow and the confinement problem. Not open for credit to students who have taken course 235.—II. (II.) Bishop 236. Computer Security: Intrusion Detection Based Approach (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 150; course 153 recommended. Concepts of intrusion detection, anomaly detection based on machine learning, signature-based detection using pattern matching, automated response to attacks using artificial intelligence planning, tracing intruders based on principal component analysis, security policy languages. Offered in alternate years.—I. Levitt 240. Programming Languages (4) Lecture—3 hours; discussion—1 hour. Prerequisites: courses 140A, 142. Advanced topics in programming languages, including formal syntax and semantics, the relation between formal semantics and verification, an introduction to the lambda calculus. Additional topics will include language design principles, alternative programming languages, in-depth semantic theory and models of language implementation.—II. (II.) Pandey 242. Translation of Programming Languages (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: course 240. Lexical analysis, parsing, storage management, symbol table design, semantic analysis and code generation. LR, LALR grammars. Compilercompilers.—III. (III.) Pandey 243. Code Generation and Optimization (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 201A or Engineering Electrical and Computer 270. Compiler optimizations for performance, code size and power reduction. Topics include control- and data-flow analysis, redundancy elimination, loop and cache optimizations, register allocation, local and global instruction scheduling, and modulo scheduling.—II. (II.) Wilken 244. Principles of Concurrent Programming (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: courses 20, 150. Fundamental concepts and applications of concurrent programs; concurrent program verification and derivation; synchronization mechanisms in programming languages; distributed programming techniques; case studies of languages.—I. (I.) Olsson, Pandey, Su 247. Concurrent Programming Languages (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: course 140A, 150. Language design parameters. Models of parallel machines. Load balancing. Scalability. Portability. Efficiency measures. Design and implementation techniques for several classes of concurrent programming languages (such as object-oriented, functional, logic, and constraint programming languages).—I. (I.) Pandey, Olsson, Su 251. Operating Systems (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 150. Models, design, implementation, performance evaluation in operating systems. Algorithms, internal architectures for single processor OS and Quarter Offered: I=Fall, II=Winter, III=Spring, IV=Summer; 2009-2010 offering in parentheses General Education (GE) credit: ArtHum=Arts and Humanities; SciEng=Science and Engineering; SocSci=Social Sciences; Div=Social-Cultural Diversity; Wrt=Writing Experience
Engineering: Computer Science 253 distributed systems. Concurrency control, recovery, security. OS kernel-level programming. Special topics embedded systems, real-time system, device driver, NPU (Network Processor Unit).—III. (III.) Pandey, Wu 252. Computer Networks (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: course 152B. Internet protocol based computer networks applications, transport, network layer protocols. High speed LAN technologies: Ethernet, Asynchronous Transfer Mode (ATM). Delay models in data networks: analysis of multiaccess techniques in polling, ring, random access networks. Multimedia applications requirements and design.—II. Mukherjee, Mohapatra, Ghosal 256. Performance Evaluation (4) Lecture—3 hours; project—1 hour. Prerequisite: courses 20, 152A, 154A-154B or Electrical and Computer Engineering 170, Statistics 131A; course 150 recommended. Use of simulation and queueing theory in computer and communication system design. Applications to processor scheduling, memory hierarchies; I/O systems; packet and circuit switched networks; fault-tolerance; computer networks applications. Not open for credit to students who have completed course 256A.—I, II. (I, II.) Matloff, Ghosal, Mohapatra, Mukherjee 257. Mobile and Wireless Networks (4) Lecture—3 hours; independent study. Prerequisite: course 252. Fundamental techniques in design of second generation wireless networks: cellular network and protocols, medium access techniques, handoff control, signaling and mobility management, wireless data works, Internet mobility and Personal Communication Services (PCS). Third generation wideband systems, novel technologies, adhoc networks. Offered in alternate years.—I. Ghosal, Mohapatra, Mukherjee 258. Internet Quality of Service (4) Lecture—3 hours; independent study. Prerequisite: course 252. Fundamentals of Internet technology, resource management issues in the Internet, techniques for supporting quality of service in the Internet and Internet servers, traffic engineering, future research issues. Offered in alternate years.—(III.) Mohapatra, Ghosal 259. Optical Networks (4) Lecture—3 hours; independent study. Prerequisite: course 252. Optical networks. Enabling technologies. Multiplexing techniques. WDM. Broadcast networks. Wavelength-routed networks. Network architectures. Protocols. Network algorithms. Devicenetwork interface. Optimization problems.—I. (I,) Mukherjee, Ghosal 260. Software Engineering (4) Lecture—3 hours; project. Prerequisite: course 142; course 160 recommended. Advanced techniques for domain-specific software reuse.—I. (I.) Devanbu 261. Program Verification (4) Lecture—3 hours; discussion—1 hour. Prerequisite: Mathematics 125 or Philosophy 112 or familiarity with first-order logic; knowledge of an iterative and functional programming language. Methods of proving correctness of programs with respect to formal specifications, with attention to those suited for employing automated deduction. Logic background, symbolic execution, techniques suited to iterative programming, methods from denotational semantics, termination, dynamic logic and proofs of concurrent programs.—I. (I.) Levitt 262. Formal Specification (3) Lecture—3 hours. Prerequisite: course 261. Formal specification of modules, and its relationship to topdown programming development and verification. Abstract data types, together with methods for specifying them. Implementations and proofs of implementation. Using specifications to reason about programs. Parameterized types. Constructing good formal specifications. Offered in alternate years.—II. Levitt 265. Distributed Database Systems (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 165A. Concepts of distributed database systems and architectures, distributed database design, distributed query processing and optimization, transaction management and concurrency control, heterogeneous and multidatabase systems.—I, III. (III.) Gertz, Ludaescher 266. Spatial Databases (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 165A. Concepts, models, and architectures for spatial databases, spatial access methods, query processing, spatio-temporal data management, moving objects, spatial data mining. Offered in alternate years.—(II.) Gertz, Ludaescher 267. Wide-Area Distributed Information Systems (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 152B or 165A. Wide-area distributed information systems, data broadcast, multicast, publish/ subscribe, service differentiation, information retrieval, Web caching. Offered in alternate years.—III. Askoy 268. Scientific Data And Workflow Management (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 165A. Scientific data integration, metadata, knowledge representation, ontologies, scientific workflow design and management. Offered in alternate years.—(II.) Gertz, Ludaescher 270. Artificial Intelligence (3) Lecture—3 hours. Prerequisite: courses 140A, 172. Concepts and techniques underlying the design and implementation of models of human performance on intelligent tasks. Representation of high-level knowledge structures. Models of memory and inference. Natural language and story understanding. Common sense planning and problem solving.—II. (II.) Davidson, Levitt 271. Machine Learning and Discovery (4) Lecture—3 hours; project—1 hour. Prerequisite: course 170. Artificial intelligence techniques for knowledge acquisition by computers. Fundamental problems in machine learning and discovery. Systems that learn from examples, analogies, and solved problems. Systems that discover numerical laws and qualitative relationships. Projects centering on implementation and evaluation.—III. Levitt, Vemuri 272. Information Visualization (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: course 163 or 175 recommended. Advanced topics in information visualization: perceptually effective display methods, color design and selection, interaction models and techniques, focus-context techniques, distortion methods, large graph visualization techniques, visual data mining methods, and evaluation methods.—II. (II.) Ma 273. Applied Visual Computing (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: graduate standing. Visual computing paradigms, current visualization technologies, principles of 3-D graphics, user interface designs, and exploratory visualization. Offered in alternate years.—I. Hamann, Joy, Ma, Max 274. Automated Deduction (4) Lecture—3 hours; discussion—1 hour. Prerequisite: Mathematics 125 or Philosophy 112 or familiarity with first-order logic. Techniques of mechanical theorem proving. Methods based on resolution and termrewriting. Decision procedures. Induction. Applications to program verification, question/answering and plan generation. Study existing mechanical theorem provers. Offered in alternate years.—III. Levitt 275A. Advanced Computer Graphics (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: course 175 or 177 or 178. Advanced topics in computer graphics. Hidden surface models, rendering of various surface types, subdivision methods, shading techniques, anti-aliasing, modeling techniques.—II. (II.) Joy, Hamann, Ma 275B. Advanced Computer Graphics (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: course 175 or 177 or 178. Advanced topics in computer graphics and geometric modeling. Topics taken from advanced research papers in computer graphics, image synthesis, visualization and geometric modeling. Discussion of current research in the field. Offered in alternate years.—(II.) Joy, Hamann, Ma 276. Advanced Volume Visualization (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 177. Applications, available tools and techniques, the challenges confronting the field of volume visualization, and some of the advanced topics in the field. Primary emphasis on advanced software and hardware techniques to achieve interactive visualization.—III. (III.) Hamann, Joy, Ma, Max 277. Advanced Visualization (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 177. Visualization of 3D data, including scalar fields, vector fields, and medical data.—III. (III.) Hamann, Joy 278. Computer-Aided Geometric Design (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: course 175 or 177 or 178. Mathematical techniques for the definition and manipulation of curves and surfaces. Coon’s patches, Bezier curves and surfaces. B-spline curves and surfaces, beta-splines, box-splines. Integration into various computer graphics rendering models, and computer-aided design systems. Offered in alternate years.—(III.) Joy, Hamann 279. Computer Animation (4) Lecture—3 hours; laboratory—3 hours. Prerequisite: course 175 or 177 or 178. Control of camera and object motion necessary to produce computer animation, modeling of articulated objects made from jointed segments, and of deformable objects. Students will complete a final animation project. Offered in alternate years.—III. Hamann, Joy, Max, Ma 280. Virtual Reality Technology (4) Lecture—3 hours; discussion—1 hour. Prerequisite: course 175. Fundamentals and principles of Virtual Reality (VR) technology. Potential and limits for its useful application. Developing a complete virtual reality application. Offered in alternate years.—III. Joy 289A-M. Special Topics in Computer Science (1-5) Lecture, laboratory, or combination. Prerequisite: consent of instructor. Special topics in (A) Computer Science Theory; (B) Architecture; (C) Programming Languages and Compilers; (D) Operating Systems; (E) Software Engineering; (F) Data Bases; (G) Artificial Intelligence; (H) Computer Graphics; (I) Networks; (J) Computer-Aided Design; (K) Scientific Computing; (L) Computer Science; (M) Security. May be repeated for credit when topic differs.—I, II, III. (I, II, III.) 290. Seminar in Computer Science (1) Seminar—1 hour. Participating seminar; discussion and presentation of current research and development in computer science. (S/U grading only.)—I, II, III. (I, II, III.) 290C. Graduate Research Group Conference (1) Discussion—1 hour. Research problems, progress and techniques in computer science. May be repeated for credit. (S/U grading only.)—I, II, III. (I, II, III.) 293A. Research in Computer Science (1) Lecture—1 hour. Prerequisite: graduate standing in computer science. Study of research topics in computer science, Ph.D. level research methodologies (experimental, applied and theoretical). Study skills necessary to successfully find/solve significant research problems. Finding and successful interacting with a research advisor. Ethical issues in research/collaborative work. (S/U grading only.)— I. (I.) Martel Quarter Offered: I=Fall, II=Winter, III=Spring, IV=Summer; 2009-2010 offering in parentheses General Education (GE) credit: ArtHum=Arts and Humanities; SciEng=Science and Engineering; SocSci=Social Sciences; Div=Social-Cultural Diversity; Wrt=Writing Experience
Page 1:
GENERAL CATALOG 2008-2009 • 2009-
Page 5 and 6:
GENERAL CATALOG
Page 7 and 8:
5 FROM THE CHANCELLOR Welcome to UC
Page 9 and 10:
7 CONTENTS Academic Calendar 1 From
Page 11 and 12:
9 College of Letters and Science 87
Page 13 and 14:
11 Environmental and Resource Scien
Page 15 and 16:
INTRODUCTION 1960 1961 Cover of the
Page 17 and 18:
Introduction 15 Through the Campus
Page 19 and 20:
Introduction 17 PHILOSOPHY OF PURPO
Page 21 and 22:
Introduction 19 The College of Engi
Page 23 and 24:
Introduction 21 titles are received
Page 25 and 26:
Introduction 23 California National
Page 27 and 28:
Introduction 25 and disease prevent
Page 29 and 30:
Introduction 27 Fuel Cell, Hydrogen
Page 31 and 32:
Introduction 29 Social Science Data
Page 33 and 34:
UNDERGRADUATE ADMISSION UNDERGRADUA
Page 35 and 36:
Undergraduate Admission 33 c. Mathe
Page 37 and 38:
Undergraduate Admission 35 College
Page 39 and 40:
Undergraduate Admission 37 If you m
Page 41 and 42:
Undergraduate Admission 39 AFTER YO
Page 43 and 44:
FEES, EXPENSES AND FINANCIAL AID FE
Page 45 and 46:
Fees, Expenses and Financial Aid 43
Page 47 and 48:
Page 49 and 50:
Page 51 and 52:
Student Life 49 LIVING AT DAVIS ON-
Page 53 and 54:
Student Life 51 COUNSELING AND HEAL
Page 55 and 56:
Student Life 53 Craft Programs Sout
Page 57 and 58:
Student Life 55 Richard L. Nelson G
Page 59 and 60:
Student Life 57 Danzantes del Alma
Page 61 and 62:
Academic Advising and Student Resou
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
ACADEMIC INFORMATION ACADEMIC INFOR
Page 71 and 72:
Academic Information 69 Retroactive
Page 73 and 74:
Academic Information 71 3. A studen
Page 75 and 76:
Academic Information 73 reading, te
Page 77 and 78:
Academic Information 75 Religious O
Page 79 and 80:
Academic Information 77 Graduate st
Page 81 and 82:
Academic Information 79 College of
Page 83 and 84:
Academic Information 81 Leave of Ab
Page 85 and 86:
Undergraduate Education 83 UNDERGRA
Page 87 and 88:
Undergraduate Education 85 mechanis
Page 89 and 90:
Undergraduate Education 87 chemical
Page 91 and 92:
Undergraduate Education 89 • Inte
Page 93 and 94:
Undergraduate Education 91 Residenc
Page 95 and 96:
Undergraduate Education 93 Beginnin
Page 97 and 98:
Undergraduate Education 95 *Specifi
Page 99 and 100:
Undergraduate Education 97 Credit f
Page 101 and 102:
Undergraduate Education 99 Once 225
Page 103 and 104:
Undergraduate Education 101 • Mol
Page 105 and 106:
GRADUATE STUDIES GRADUATE STUDIES 1
Page 107 and 108:
Graduate Studies 105 Readmission Ma
Page 109 and 110:
Graduate Studies 107 fee award is 3
Page 111 and 112:
School of Education 109 SCHOOL OF E
Page 113 and 114:
School of Education 111 M.A. Degree
Page 115 and 116:
School of Law 113 SCHOOL OF LAW Sch
Page 117 and 118:
School of Law 115 work out an addit
Page 119 and 120:
Graduate School of Management 117 G
Page 121 and 122:
SCHOOL OF MEDICINE SCHOOL OF MEDICI
Page 123 and 124:
School of Medicine 121 admission. F
Page 125 and 126:
School of Veterinary Medicine 123 S
Page 127 and 128:
PROGRAMS AND COURSES PROGRAMS AND C
Page 129 and 130:
Programs and Courses 127 COURSE DES
Page 131 and 132:
African American and African Studie
Page 133 and 134:
Agricultural Computing and Informat
Page 135 and 136:
Agricultural and Resource Economics
Page 137 and 138:
Agricultural and Resource Economics
Page 139 and 140:
American Studies 137 1E. Nature and
Page 141 and 142:
Animal Biology 139 ior, such as Psy
Page 143 and 144:
Animal Genetics 141 396. Teaching A
Page 145 and 146:
Animal Physiology 143 121, 121L, Nu
Page 147 and 148:
Animal Science and Management 145 c
Page 149 and 150:
Anthropology 147 Additional units f
Page 151 and 152:
Anthropology 149 134. Buddhism in G
Page 153 and 154:
Anthropology 151 203. History and T
Page 155 and 156:
Applied Computing and Information S
Page 157 and 158:
Art History 155 “art center.” T
Page 159 and 160:
Art Studio 157 Lucy Puls, M.F.A., P
Page 161 and 162:
that empowers students and people t
Page 163 and 164:
Asian Studies 161 192. Internship (
Page 165 and 166:
Atmospheric Science (A Graduate Gro
Page 167 and 168:
Avian Sciences (A Graduate Group) 1
Page 169 and 170:
Biological Sciences 167 Research an
Page 171 and 172:
Biological Sciences 169 Bodega Mari
Page 173 and 174:
Biophysics (A Graduate Group) 171 d
Page 175 and 176:
Bodega Marine Laboratory Program 17
Page 177 and 178:
Cell Biology and Human Anatomy 175
Page 179 and 180:
Chemistry 177 108. Physical Chemist
Page 181 and 182:
Chicana/Chicano Studies 179 troscop
Page 183 and 184:
Chicana/Chicano Studies 181 123. Ps
Page 185 and 186:
Classics 183 Classics 190 .........
Page 187 and 188:
104. Sallust (4) Lecture—3 hours;
Page 189 and 190:
Communication 187 print and broadca
Page 191 and 192:
Community and Regional Development
Page 193 and 194:
Community Development (A Graduate G
Page 195 and 196:
Comparative Literature 193 from dif
Page 197 and 198:
Comparative Literature (A Graduate
Page 199 and 200:
Computer Science (A Graduate Group)
Page 201 and 202:
Cultural Studies (A Graduate Group)
Page 203 and 204: Design 201 Three courses from Desig
Page 205 and 206: Dietetics 203 170. Experimental Fas
Page 207 and 208: Earth Sciences 205 1CN. Mandarin fo
Page 209 and 210: East Asian Studies 207 108. Poetry
Page 211 and 212: Ecology (A Graduate Group) 209 Math
Page 213 and 214: Economics 211 ecology. Not open for
Page 215 and 216: Economics 213 ware, and electricity
Page 217 and 218: Education, School of 215 256. Appli
Page 219 and 220: Education, School of 217 173. Langu
Page 221 and 222: Education, School of 219 issues and
Page 223 and 224: Endocrinology (A Graduate Group) 22
Page 225 and 226: Engineering: Applied Science 223 of
Page 227 and 228: Engineering: Applied Science 225 or
Page 229 and 230: Engineering: Biological and Agricul
Page 235 and 236: Engineering: Biomedical 233 Systems
Page 237 and 238: Engineering: Chemical Engineering a
Page 245 and 246: Engineering: Civil and Environmenta
Page 251 and 252: Engineering: Computer Science 249 2
Page 253: Engineering: Computer Science 251 k
Page 257 and 258: Engineering: Electrical and Compute
Page 263 and 264: Engineering: Mechanical and Aeronau
Page 269 and 270: English 267 lems including tunnel c
Page 271 and 272: English 269 46C. Masterpieces of En
Page 273 and 274: English 271 179. Multi-Ethnic Liter
Page 275 and 276: Entomology 273 in professional grad
Page 277 and 278: Environmental Geology 275 The Progr
Page 279 and 280: Environmental Horticulture and Urba
Page 281 and 282: Environmental and Resource Sciences
Page 283 and 284: Environmental Science and Policy 28
Page 285 and 286: Environmental Science and Policy 28
Page 287 and 288: Environmental Toxicology 285 102A.
Page 289 and 290: Epidemiology (A Graduate Group) 287
Page 291 and 292: Evolution and Ecology 289 *Appropri
Page 293 and 294: Exercise Biology 291 Exercise Biolo
Page 295 and 296: Film Studies 293 Olga Stuchebrukhov
Page 297 and 298: Food Science (A Graduate Group) 295
Page 299 and 300: Food Service Management 297 203. Fo
Page 301 and 302: Forensic Science (A Graduate Group)
Page 303 and 304: Freshman Seminar Program 301 Gradua
Page 305 and 306:
Geographic Information Systems 303
Page 307 and 308:
Geology 305 and species geography.
Page 309 and 310:
Geology 307 50L. Physical Geology L
Page 311 and 312:
Geology 309 194HA-194HB. Senior Hon
Page 313 and 314:
German 311 obtained by writing to t
Page 315 and 316:
Global and International Studies 31
Page 317 and 318:
Hebrew 315 209. Data Acquisition in
Page 319 and 320:
History 317 72A. Social History of
Page 321 and 322:
History 319 149. Comparative Cultur
Page 323 and 324:
History 321 191F. History of the Pe
Page 325 and 326:
Human Anatomy 323 William Horwath,
Page 327 and 328:
Human Development 325 110. Contempo
Page 329 and 330:
Hydrologic Sciences (A Graduate Gro
Page 331 and 332:
Hydrology 329 latory, processing an
Page 333 and 334:
Independent Study Program 331 Rober
Page 335 and 336:
8A. Special Topics in Natural Scien
Page 337 and 338:
International Agricultural Developm
Page 339 and 340:
International Relations 337 Lucia K
Page 341 and 342:
Italian 339 Internship Experience T
Page 343 and 344:
Japanese 341 particular attention t
Page 345 and 346:
Landscape Architecture 343 planning
Page 347 and 348:
Landscape Restoration 345 190. Pros
Page 349 and 350:
Law, School of 347 Second and Third
Page 351 and 352:
Law, School of 349 include the evol
Page 353 and 354:
Law, School of 351 285C. Agricultur
Page 355 and 356:
Linguistics 353 adjudication, rulem
Page 357 and 358:
Linguistics 355 141. Semantics (4)
Page 359 and 360:
Management, Graduate School of 357
Page 361 and 362:
Management, Graduate School of 359
Page 363 and 364:
Master of Education (M.Ed.) (A Grad
Page 365 and 366:
Mathematics 363 C. Enrichment .....
Page 367 and 368:
Mathematics 365 dynamic programming
Page 369 and 370:
Medical Informatics (A Graduate Gro
Page 371 and 372:
Medicine, School of 369 Lorien Dalr
Page 373 and 374:
Medicine, School of 371 Xiao-Dong L
Page 375 and 376:
Medicine, School of 373 David Telan
Page 377 and 378:
Medicine, School of 375 Wallace Win
Page 379 and 380:
Medicine, School of 377 basic, soci
Page 381 and 382:
Medicine, School of 379 Courses in
Page 383 and 384:
Medicine, School of 381 262. Princi
Page 385 and 386:
Medicine, School of 383 ment as rel
Page 387 and 388:
Medicine, School of 385 major categ
Page 389 and 390:
Medicine, School of 387 499. Resear
Page 391 and 392:
Medicine, School of 389 116. Parasi
Page 393 and 394:
Medicine, School of 391 456. Cortic
Page 395 and 396:
Medicine, School of 393 199. Specia
Page 397 and 398:
Medicine, School of 395 aesthetic p
Page 399 and 400:
Medicine, School of 397 499. Resear
Page 401 and 402:
Mexican-American (Chicano) Studies
Page 403 and 404:
Microbiology (A Graduate Group) 401
Page 405 and 406:
Middle East/South Asia Studies 403
Page 407 and 408:
Middle East/South Asia Studies 405
Page 409 and 410:
Molecular and Cellular Biology 407
Page 411 and 412:
Molecular, Cellular, and Integrativ
Page 413 and 414:
Music 411 action at the cellular an
Page 415 and 416:
Music 413 Theme and Variations, Ron
Page 417 and 418:
Native American Studies 415 tory an
Page 419 and 420:
Natural Sciences 417 184. Contempor
Page 421 and 422:
sis is on critical examination of i
Page 423 and 424:
Neurobiology, Physiology, and Behav
Page 425 and 426:
Neurobiology, Physiology, and Behav
Page 427 and 428:
Neuroscience 425 mittee. Honors the
Page 429 and 430:
Neurology 427 polarity,” and “G
Page 431 and 432:
Nutrition 429 202. Advanced Nutriti
Page 433 and 434:
Obstetrics and Gynecology 431 munit
Page 435 and 436:
Philosophy 433 careers in computer
Page 437 and 438:
Philosophy 435 157. Twentieth Centu
Page 439 and 440:
Physical Medicine and Rehabilitatio
Page 441 and 442:
Page 443 and 444:
Page 445 and 446:
Plant Biology (College of Biologica
Page 447 and 448:
Plant Biology (A Graduate Group) 44
Page 449 and 450:
Plant Pathology 447 obtained from t
Page 451 and 452:
Plant Sciences 449 The Major Progra
Page 453 and 454:
Plant Sciences 451 Rangeland Resour
Page 455 and 456:
Plastic Surgery 453 Professional Co
Page 457 and 458:
Political Science 455 managing comp
Page 459 and 460:
Political Science 457 currently. In
Page 461 and 462:
Population Biology (A Graduate Grou
Page 463 and 464:
Psychology 461 toward satisfaction
Page 465 and 466:
Psychology 463 culia. Emphasis plac
Page 467 and 468:
Quantitative Biology and Bioinforma
Page 469 and 470:
Russian 467 102. Christian Origins
Page 471 and 472:
Science and Society 469 Pushkin, De
Page 473 and 474:
Science and Technology Studies 471
Page 475 and 476:
175. Laboratory Studies Lab (4) Lec
Page 477 and 478:
Sociology 475 Depth Subject Matter
Page 479 and 480:
Sociology 477 131. The Family (4) L
Page 481 and 482:
Soil Science 479 220. Deviance, Law
Page 483 and 484:
Soils and Biogeochemistry (A Gradua
Page 485 and 486:
Spanish 483 1S. Elementary Spanish
Page 487 and 488:
Spanish 485 153. Spanish-American S
Page 489 and 490:
Statistics 487 281. Spanish-America
Page 491 and 492:
Statistics 489 137. Applied Time Se
Page 493 and 494:
Technocultural Studies 491 The Prog
Page 495 and 496:
Textiles and Clothing 493 Restricte
Page 497 and 498:
Theatre and Dance 495 14. Introduct
Page 499 and 500:
Theatre and Dance 497 160A-160B. Pr
Page 501 and 502:
University of California, Davis Was
Page 503 and 504:
University Writing Program 501 and
Page 505 and 506:
Veterinary Medicine, School of 503
Page 507 and 508:
Page 509 and 510:
Page 511 and 512:
Page 513 and 514:
Page 515 and 516:
Viticulture and Enology 513 463. So
Page 517 and 518:
Viticulture and Enology 515 tems us
Page 519 and 520:
Water Science 517 B.S. Major Requir
Page 521 and 522:
Wine Production 519 197T. Tutoring
Page 523 and 524:
Women and Gender Studies 521 nial t
Page 525 and 526:
GENERAL EDUCATION COURSES/OPTIONS 1
Page 527 and 528:
GENERAL EDUCATION COURSES TOPICAL B
Page 529 and 530:
General Education Courses/Options 5
Page 531 and 532:
Page 533 and 534:
Page 535 and 536:
Page 537 and 538:
APPENDIX APPENDIX 2005 The UC-Black
Page 539 and 540:
Appendix 537 3. Parent of Minor Mov
Page 541 and 542:
Appendix 539 Disclosures from Stude
Page 543 and 544:
Appendix 541 ADMINISTRATIVE OFFICER
Page 545 and 546:
Appendix 543 PROPORTION OF OF UC UC
Page 547 and 548:
Index 545 INDEX A academic calendar
Page 549 and 550:
Index 547 Applied Biological System
Page 551 and 552:
Index 549 Biological and Agricultur
Page 553 and 554:
Index 551 International and Communi
Page 555 and 556:
Index 553 refunds admission fee 44
Page 557 and 558:
NOTES 555
Page 559:
Orchard Park Cir. Orchard Park Cir.
show all

UC Davis 2008-2010 General Catalog - General Catalog - UC Davis

Create successful ePaper yourself

Delete template?

Save as template?