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Spring Quarter 2017 Time Schedule

COMPUTING & SOFTWARE SYSTEMS
(UW BOTHELL )

Enrollment and status (open/closed) were accurate when this page was created (12:02 am June 16, 2017) but may have changed since then. For current enrollment and status, check the Enrollment Summary. (UW NetID required.)
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Enrl        Sect                                                                                             Crs
Restr   SLN  ID Cred    Meeting Times     Bldg/Rm       Instructor                 Status Enrl/Lim   Grades  Fee Other
 ?       ?       ?           ?             ?               ?                         ?       ?         ?      ?    ?

CSS   101  DIGITAL THINKING(QSR)
       20755 A  5       TTh    845-1045   UW1  051      KIM,JEFFREY Y.             Open     15/  15                J     

CSS   107  PROG-ANIMATED STORY (VLPA,QSR)
       12930 A  5       TTh    115-315    UW1  010      NASH,ROB D                 Closed   45/  45            $9        
       12931 B  5       MW     1100-100   UW2  131      NASH,ROB D                 Closed   46/  45            $9        

CSS   161  FUND OF COMPUTING(NW,QSR)
       12932 A  5       MW     1100-100   UW1  041      OLSON,CLARK F              Open     40/  45                      
                        MUST ENROLL IN ONE CSSSKL 161 LAB                                                                                                                   
       12933 B  5       MW     115-315    UW2  141      LIN,JOHNNY W               Open     39/  45                      
                        MUST ENROLL IN ONE CSSSKL 161 LAB                                                                                                                   
       12934 C  5       MW     845-1045   UWBB 240      ONG,HANSEL                 Open     40/  45                      
                        MUST ENROLL IN ONE CSSSKL 161 LAB                                                                                                                   

CSS   162  PROG METHODOLOGY(NW,QSR)Prerequisites (cancellation in effect)
       12935 A  5       TTh    115-315    DISC 162      LIN,JOHNNY W               Open     31/  45                      
                        MUST ENROLL IN ONE CSSSKL 162 LAB                                                                                                                   
       12936 B  5       TTh    545-745P   UW2  031      ONG,HANSEL                 Open     24/  45                      
                        MUST ENROLL IN ONE CSSSKL 162 LAB                                                                                                                   

CSS   198  SUPERVISED STUDY
 IS   >12937 A  1-5     to be arranged                                                       0/  40                      
 IS   >12938 B  1-5     to be arranged                                                       2/  40  CR/NC               
 IS    12939 C  2       to be arranged                                             Open      0/  30E                     
                        SUPERVISED SKILL DEVELOPMENT                                                                                                                        

CSS   199  COMPUTING RESEARCH
 IS   >12940 A  1-5     to be arranged                                                       0/  40                      
 IS   >12941 B  1-5     to be arranged                                                       2/  40  CR/NC               

CSS   205  WOMEN STEM: COLLEGE (I&S,DIV)
       12942 A  1       M      945-1045   UW2  228      KRAEMER,SUSAN M.           Open     12/  10  CR/NC         J     

CSS   225  PHYS/CHEM OF COMP(QSR)Prerequisites
       12943 A  5       TTh    330-530    DISC 162      GUNNERSON,KIM N.           Open     23/  30            $6        

CSS   295  K12 COMPUTING EDU(QSR,DIV)Prerequisites
       12944 A  2       T      330-530    UW1  260      KOOL,NANCY L               Open     12/  15  CR/NC         S     

CSS   301  TECHNICAL WRITINGPrerequisites
      >12945 A  5       MW     845-1045   UW2  221      KOOL,NANCY L                        17/  30            $6  W     
      >12946 B  5       TTh    330-530    UW2  131      ANDERSON,LAURIE JOY                 29/  30            $6  W     

CSS   332  PROG W/OO LANGS
Restr  12947 A  2       F      115-515    DISC 252      STIBER,MICHAEL D           Open     24/  60  CR/NC               

CSS   342  DATA, ALG, MATH IPrerequisites (cancellation in effect)
      >12948 A  5       MW     330-530    UW2  131      RETIK,ARIEH A                       29/  45           $13        
      >12949 B  5       TTh    545-745P   UW2  131      RETIK,ARIEH A                       24/  45           $13        

CSS   343  DATA, ALG, MATH IIPrerequisites (cancellation in effect)
Restr  12950 A  5       TTh    330-530    DISC 061      KIM,WOOYOUNG               Closed   58/  45           $13        

CSS   350  MGT PRINCIPLESPrerequisites
Restr  12951 A  5       T      545-745P   UWBB 230      KOCHANSKI,MARK             Closed   45/  45            $9        
                        Th     545-745P   UW2  141      
                        NOT AVAILABLE FOR CREDIT FOR                                                                                                                        
                        STUDENTS WHO ARE MINORING IN                                                                                                                        
                        BUSINESS.                                                                                                                                           

CSS   360  SOFTWARE ENGRPrerequisites
      >12952 A  5       TTh    1100-100   UW2  131      KALMIN,LESLEY R                     38/  45            $9        

CSS   370  ANALYSIS AND DESIGN Prerequisites (cancellation in effect)
Restr  12953 A  5       MW     330-530    DISC 061      ASUNCION,HAZELINE U        Closed   46/  45            $9        

CSS   371  BUSINESS OF TECHPrerequisites
Restr  20981 A  5       TTh    545-745P   DISC 162      ELLOUMI EP HANNACHI,IMEN   Closed   25/  18            $6  J     

CSS   383  BIOINFORMATICS(NW)
       21429 A  5       MW     330-530    UW1  060      ZANEVELD,JESSE R           Closed   10/  10                J     

CSS   385  INTRO TO GAME DEV(VLPA/NW)Prerequisites
Restr  12955 A  5       TTh    330-530    DISC 252      SUNG,KELVIN H.             Open     35/  45            $9        

CSS   405  WOMEN STEM: CAREER(I&S,DIV)
Restr  20868 A  1       M      945-1045   UW2  228      KRAEMER,SUSAN M.           Open      6/  10  CR/NC         J     

CSS   411  CMPT & PUB POLICY(I&S)
Restr  12956 A  5       M      115-315    DISC 252      KOCHANSKI,MARK             Closed   29/  24            $6  B     
                        50% HYBRID. CLASS WILL MEET ON                                                                                                                      
                        CAMPUS MON ONLY. STUDENTS WILL                                                                                                                      
                        ARRANGE                                                                                                                                             
                        ADDITIONAL HOUR MEETING WITH                                                                                                                        
                        INSTRUCTOR.                                                                                                                                         

CSS   415  TOPICS IN CYERSECPrerequisites
Restr  12957 A  1-5     TTh    330-530    UW1  221      THAMILARASU,GEETHAPRIYA    Open     13/  45                      

CSS   422  HARDWARE & COMP ORG Prerequisites (cancellation in effect)
Restr  12958 A  5       MW     115-315    UW1  202      FOLSOM,TYLER C.            Open     40/  45           $13        
Restr  12959 B  5       TTh    1100-100   UW2  005      PENG,YANG                  Closed   46/  45           $13        

CSS   430  OPERATING SYSTEMSPrerequisites (cancellation in effect)
Restr  20710 A  5       MW     800-1000P  UW1  030      LUDLOW,NELSON D            Open     24/  45           $13        
Restr  20711 B  5       TTh    115-315    UW1  110      DIMPSEY,ROBERT T           Open     43/  45           $13        

CSS   432  COMPUTER NETWORKING Prerequisites
Restr  12960 A  5       MW     800-1000P  UW1  102      ARAVAZHI IRISSAPPANE,ATHI  Open     22/  45           $18        

CSS   434  PARA DISTR COMPUTINGPrerequisites (cancellation in effect)
Restr  12961 A  5       MW     330-530    UW2  340      FUKUDA,MUNEHIRO            Open     21/  24           $22        

CSS   448  INTRO TO COMPILERSPrerequisites (cancellation in effect)
Restr  12962 A  5       MW     800-1000P  UW1  020      BERNSTEIN,MORRIS           Open     19/  20           $13  J     

CSS   458  COMPUTER SIMULATION Prerequisites (cancellation in effect)
Restr  20712 A  5       TTh    545-745P   UW1  220      LIN,JOHNNY W               Open     33/  45           $13        

CSS   473  ENTREPRENEURSHP SEM
       21040 A  5       MW     115-315    UW1  040      SHAW,DAVID S.              Open      9/  10            $6  J     

CSS   475  DATABASE SYSTEMSPrerequisites (cancellation in effect)
Restr  12963 A  5       MW     330-530    DISC 252      PARSONS,ERIKA F.           Closed   44/  40           $13        

CSS   480  HUMAN-COMP INTERACT Prerequisites
Restr  12964 A  5       MW     545-745P   UW1  202      ERDLY,WILLIAM W            Closed   49/  45            $9        

CSS   490  SPECIAL TOPICS
Restr  12965 A  5       MW     115-315    UW2  005      PARSONS,ERIKA F.           Open     34/  45                      
                        TITLE: INTRODUCTION TO PATTERN                                                                                                                      
                        RECOGNITION: AN APPLIED APPROACH                                                                                                                    
                        DESCRIPTION: THIS COURSE PROVIDES                                                                                                                   
                        AN INTRODUCTION TO FUNDAMENTAL                                                                                                                      
                        STATISTICAL CONCEPTS AND                                                                                                                            
                        METHODOLOGIES USED IN PATTERN                                                                                                                       
                        RECOGNITION AND DATA MINING.  IN                                                                                                                    
                        THE ERA OF DATA ANALYTICS, IT IS                                                                                                                    
                        IMPORTANT TO UNDERSTAND                                                                                                                             
                        FOUNDATIONS BEHIND DATA ANALYSIS TO                                                                                                                 
                        FACILITATE THE IDENTIFICATION OF                                                                                                                    
                        EMERGING PATTERNS, AS WELL AS MEANS                                                                                                                 
                        TO INTERPRET DATA. THIS IS A                                                                                                                        
                        PROJECT-BASED COURSE, WITH EMPHASIS                                                                                                                 
                        ON APPLYING THEORY.                                                                                                                                 
                        PREREQUISITES: CSS342 AND CALCULUS                                                                                                                  
                        II OR INSTRUCTOR PERMISSION                                                                                                                         
Restr  12966 B  5       MW     330-530    UW2  240      CHEN,MIN                   Open     39/  45                      
                        COURSE TITLE: MULTIMEDIA DATA                                                                                                                       
                        PROCESSING/ MULTIMEDIA DATABASE                                                                                                                     
                        SYSTEMS                                                                                                                                             
                        THIS COURSE INTRODUCES TECHNIQUES                                                                                                                   
                        FOR PROCESSING AND RETRIEVAL OF                                                                                                                     
                        MULTIMEDIA DATA. THE MEDIA TO BE                                                                                                                    
                        CONSIDERED INCLUDE IMAGE, AUDIO AND                                                                                                                 
                        VIDEO. AT THE END OF THIS COURSE,                                                                                                                   
                        THE STUDENTS SHOULD HAVE THE                                                                                                                        
                        EXPERTISE AND COMPETENCE TO DEVELOP                                                                                                                 
                        RETRIEVAL SOFTWARE FOR CERTAIN                                                                                                                      
                        MULTIMEDIA DATA.                                                                                                                                    
                        IN THIS COURSE, WE WILL DISCUSS                                                                                                                     
                        MULTIMEDIA DATA PROCESSING CONCEPTS                                                                                                                 
                        AND OVERVIEW CURRENT APPROACHES FOR                                                                                                                 
                        MULTIMEDIA DATA COMPRESSION,                                                                                                                        
                        INDEXING AND RETRIEVAL. THIS COURSE                                                                                                                 
                        HAS BOTH THEORETICAL AND PRACTICAL                                                                                                                  
                        COMPONENTS, WHERE MANY BASIC                                                                                                                        
                        CONCEPTS ARE ILLUSTRATED THROUGH                                                                                                                    
                        REAL-WORLD MULTIMEDIA                                                                                                                               
                        APPLICATIONS. STUDENTS WILL ALSO                                                                                                                    
                        LEARN TO APPLY MULTIMEDIA DATA                                                                                                                      
                        PROCESSING TECHNIQUES TO PRACTICAL                                                                                                                  
                        PROBLEMS.                                                                                                                                           
Restr  12967 C  5       TTh    545-745P   UW1  041      LAGESSE,BRENT J            Open      4/  10                J     
                        ADVERSARIAL MACHINE LEARNING                                                                                                                        
                        MACHINE LEARNING HAS EMERGED AS A                                                                                                                   
                        TECHNIQUE THAT IS USED TO ADD                                                                                                                       
                        INTELLIGENCE TO NUMEROUS                                                                                                                            
                        APPLICATIONS.  THIS COURSE WILL                                                                                                                     
                        EXAMINE THE CASE WHEN MACHINE                                                                                                                       
                        LEARNING ALGORITHMS ARE ATTACKED BY                                                                                                                 
                        AN ADVERSARY.  THE COURSE WILL                                                                                                                      
                        COVER THE BASICS OF MACHINE                                                                                                                         
                        LEARNING, THE MACHINE LEARNING                                                                                                                      
                        THREAT MODEL, AND THE EXISTING                                                                                                                      
                        METHODS FOR SECURING APPLICATIONS                                                                                                                   
                        BUILT ON MACHINE LEARNING                                                                                                                           
                        ALGORITHMS.  STUDENTS WILL IDENTIFY                                                                                                                 
                        WEAKNESSES IN MACHINE LEARNING                                                                                                                      
                        ALGORITHMS AND DEVELOP SOLUTIONS TO                                                                                                                 
                        SECURE THEM.  THE COURSE WILL                                                                                                                       
                        INCLUDE MACHINE LEARNING IN                                                                                                                         
                        TRADITIONAL ENVIRONMENTS SUCH AS                                                                                                                    
                        INTRUSION DETECTION AND EMERGING                                                                                                                    
                        ENVIRONMENTS SUCH AS PERVASIVE                                                                                                                      
                        COMPUTING APPLICATIONS.  THE GOAL                                                                                                                   
                        OF THIS COURSE IS TO PROVIDE                                                                                                                        
                        STUDENTS WITH NECESSARY BACKGROUND                                                                                                                  
                        AND EXPERIENCE WITH INNOVATIVE                                                                                                                      
                        RESEARCH IN ADVERSARIAL MACHINE                                                                                                                     
                        LEARNING, SO THAT THEY HAVE THE                                                                                                                     
                        CONFIDENCE AND TRAINING TO PURSUE                                                                                                                   
                        FURTHER RESEARCH IN THE FIELD.                                                                                                                      

CSS   495  A CMPT INTERNSHIPPrerequisites
       21189 A  1-5     to be arranged    *    *        ANDERSON,LAURIE JOY        Closed    3/  15  CR/NC               

CSS   496  APPL CMPT CAPSTONEPrerequisites
Restr  12968 A  5       TTh    545-745P   UW2  228      ANDERSON,LAURIE JOY        Open      5/  15  CR/NC               
                        A CMPT STUDENTS ONLY, NO                                                                                                                            
                        CREDIT                                                                                                                                              
                        FOR BSCSSE MAJORS                                                                                                                                   

CSS   497  CS & SE CAPSTONEPrerequisites
 IS   >12969 A  1-10    to be arranged                                                       9/  40E               R     
 IS    21191 B  1-10    to be arranged    *    *                                   Closed   43/  40E CR/NC         R     

CSS   498  INDEPENDENT STUDY
 IS   >12970 A  1-5     to be arranged                                                       6/  20E                     
 IS    21190 B  1-5     to be arranged    *    *                                   Closed   35/  20E CR/NC               

CSS   499  UNDERGRAD RESEARCH
 IS   >12971 A  1-5     to be arranged                                                       2/  20E               R     
 IS   >12972 B  1-5     to be arranged                                                       9/  20E CR/NC         R