1. Home
  2. Academics
  3. Time Schedule

Time Schedule

SLN/Section Times Bldg/Room Instructor
CS&SS 221: Statistical Concepts and Methods for the Social Sciences (5.0)
13133 A 	  MWF 11:30-12:20	SMI 120	 Brown, William
Open 
31 / 56
              
13134 AA	  TT 8:30-9:20	THO 202	 Inosaki, Ken
Open 
4 / 7
              
13135 AB	  TT 9:30-10:20	THO 119	 Lovelace, Katherine
Closed
7 / 7
              
13136 AC	  TT 8:30-9:20	THO 334	 Jabbarli, Ramin
Open 
0 / 7
              
13137 AD	  TT 9:30-10:20	CMU 228	 Inosaki, Ken
Closed
7 / 7
              
13138 AE	  TT 8:30-9:20	THO 235	 Thiara, Isabelle
Open 
0 / 7
              
13139 AF	  TT 9:30-10:20	THO 135	 Thiara, Isabelle
Closed
7 / 7
              
13140 AG	  TT 8:30-9:20	THO 234	 Lovelace, Katherine
Open 
0 / 7
              
13141 AH	  TT 9:30-10:20	THO 335	 Jabbarli, Ramin
Open 
6 / 7
CS&SS 452: Statistics and Philosophy of Voting (3.0)
23405 A 	  MW 11:00-12:20	JHN 175	 Erosheva, Elena
Open 
0 / 5
CS&SS 508: Introduction to R for Social Scientists (1.0)
13142 A 	  T 4:30-6:20	THO 125	 Erosheva, Elena
Open 
37 / 60
CS&SS 509: Econometrics I: Introduction to Mathematical Statistics (4.0)
13145 A 	  TT 2:30-4:20	JHN 175	 Richardson, Thomas
Open 
1 / 2
              
13146 AA	  F 12:30-1:20	SAV 131	 Otto, Mateus
Closed
1 / 1
              
13147 AB	  F 1:30-2:20	SAV 131	 Otto, Mateus
Open 
0 / 1
CS&SS 510: Maximum Likelihood Methods for the Social Sciences (5.0)
13148 A 	  MW 4:30-5:50	SMI 205	 Adolph, Christopher
Open 
15 / 65
CS&SS 536: Analysis of Categorical and Count Data (3.0)
13149 A 	  MW 2:30-3:50	RAI 121	 Dobra, Adrian
Open 
5 / 17
CS&SS 552: Statistics and Philosophy of Voting (3.0)
23313 A 	  MW 11:00-12:20	JHN 175	 Erosheva, Elena
Open 
6 / 15
CS&SS 590: CSSS Seminar (1.0)
13151 A 	  W 12:30-1:20	SMI 405	 Mccormick, Tyler
Open 
23 / 25SEMINARS HELD IN SAV 409. MUST BE AT GRADUATE STUDENT LEVEL
CS&SS 594: Special Topics in Social Science and Statistics (4.0)
23413 A 	  TT 2:30-4:20	SMI 105	 Mccormick, Tyler
Open 
19 / 30TOPIC: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING AND THEIR APPLICATIONS IN THE SOCIAL SCIENCES