Timeroom: Fall 2023

Displaying 261 - 270 of 1272 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 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 13922
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): CS 830 or CS 833
Repeat Rule: May be repeated for a maximum of 9 credits.
Instructors: Wheeler Ruml
Start Date End Date Days Time Location
8/28/2023 12/11/2023 TR 2:10pm - 3:30pm KING N233
Durham   Engineering&Physical Sciences :: Computer Science

CS 950 (01) - Advanced Machine Learning

Advanced Machine Learning

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 15611
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 9 credits.
Instructors: Marek Petrik
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MW 10:10am - 11:30am KING N233
Durham   Engineering&Physical Sciences :: Computer Science

CS 980 (01) - Advanced Topics

Advanced Topics

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 16698
Advanced Topics.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Samuel Carton
Start Date End Date Days Time Location
8/28/2023 12/11/2023 TR 5:10pm - 6:30pm KING N233
Final Exam 12/13/2023 12/13/2023 W 6:00pm - 8:00pm KING N233
Durham   Engineering&Physical Sciences :: Computer Science

CS 998 (01) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
CRN: 10499
Independent Study.
Section above not available for web registration; Check with dept for details.
Instructors: STAFF
Start Date End Date Days Time Location
8/28/2023 12/11/2023 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (01) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2023 - Full Term - Grad Thesis (08/28/2023 - 12/11/2023)
Grade Mode: Graduate Credit/Fail grading
CRN: 15158
Doctoral Research.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
8/28/2023 12/11/2023 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (17) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2023 - Full Term - Grad Thesis (08/28/2023 - 12/11/2023)
Grade Mode: Graduate Credit/Fail grading
Class Size:   2  
CRN: 16899
Doctoral Research.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Thomas Butkiewicz
Start Date End Date Days Time Location
8/28/2023 12/11/2023 Hours Arranged TBA
Manchester   Coll of Professional Studies :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14288
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.
Registration Approval Required. Contact Instructor or 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: Bogdan Gadidov
Start Date End Date Days Time Location
8/28/2023 10/20/2023 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14289
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DATA 800 May be taken concurrently
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Phani Kidambi
Start Date End Date Days Time Location
8/28/2023 10/20/2023 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14290
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DATA 800 and DATA 820
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
10/30/2023 12/22/2023 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 822 (M1) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14291
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DATA 800 and DATA 820 and DATA 821 May be taken concurrently
Mutual Exclusion : ADMN 872
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
10/30/2023 12/22/2023 Hours Arranged ONLINE