Timeroom: Fall 2021

Displaying 241 - 250 of 1164 Results for: Level = All Graduate
Durham   Engineering&Physical Sciences :: Computer Science

CS 931 (01) - Planning for Robots

Planning for Robots

Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 16153
Students read research papers and perform a research project pertaining to algorithms for planning and decision-making for robots, with an emphasis on autonomous systems. Advanced undergraduate students in Computer Science and graduate students from other disciplines are eligible to take the course with the instructor?s permission. Prereq: CS 830 or CS 833 or permission of instructor.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 9 credits.
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 TR 2:10pm - 3:30pm KING N233
Durham   Engineering&Physical Sciences :: Computer Science

CS 950 (1HY) - Advanced Machine Learning

Advanced Machine Learning

Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 16154
Course covers advanced machine learning techniques for making good decisions driven by data. The main focus areas are reinforcement learning, exploration-exploitation trade-off, mathematical optimization methods, and practical applications. Group-based Project on a selected topic. Prereq: instructor's permission.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 9 credits.
Attributes: Online with some campus visits, EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 Hours Arranged ONLINE
8/30/2021 12/13/2021 TR 9:40am - 11:00am KING N233
Durham   Engineering&Physical Sciences :: Computer Science

CS 998 (01) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
CRN: 10623
Section above not available for web registration; Check with dept for details.
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (01) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2021 - Full Term* (08/30/2021 - 12/13/2021)
Grade Mode: Graduate Credit/Fail grading
CRN: 10351
Cr/F.
Section above not available for web registration; Check with dept for details.
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (07) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2021 - Full Term* (08/30/2021 - 12/13/2021)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 16778
Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (17) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2021 - Full Term* (08/30/2021 - 12/13/2021)
Grade Mode: Graduate Credit/Fail grading
Class Size:   1  
CRN: 13578
Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 Hours Arranged TBA
Manchester   Graduate School :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 16964
This course is designed to give students a solid understanding of the experience in probability, and inferential statistics. The course provides a foundational understanding of statistical concepts and tools required for decision making in a data science, business, research or policy setting. The course uses case studies and requires extensive use of statistical software.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 16965
In this class, students will build their foundational toolbox in data science: upon completion, students will be able to use the computer from the command line; practice version control with GIT & GitHub; gain a mastery of programming in Python; data wrangling with Python and perform an exploratory data analysis (EDA) in Python. All learning objectives are achieved through active application of these techniques to real world datasets. Pre- or Coreq: DATA 800.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 16966
In this class, students will learn the foundations of databases and large datasets: upon completion, students will be able to explore out-of-ram datasets though traditional SQL databases and NoSQL databases. Students will also be introduced to distributed computing. All learning objectives are achieved through active application of these techniques to world datasets. Prereq: DATA 800; DATA 820.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 822 (M1) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 16967
In this class, students will learn foundations of practical machine learning: upon completion, students will be able to understand and apply supervised and unsupervised learning in Python to build predictive models on real world datasets. Techniques covered include (but not limited to): preprocessing, dimensionality reduction, clustering, feature engineering and model evaluation. Models covered include: generalized linear models, tree-based models, bayesian models, support vector machines, and neural networks. All learning objectives are achieved through active application of these techniques to real world datasets. Prereq: DATA 800; DATA 820 Pre- or Coreq: DATA 821.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Mutual Exclusion : ADMN 872
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE