Timeroom: Summer 2022

Displaying 151 - 160 of 560 Results for: All Courses
Durham   Engineering&Physical Sciences :: Computer Science

CS 410P (1ON) - Introduction to Scientific Programming/Python

Intro Scientific Prog/Python

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Summer 2022 - Special Summer Session (05/23/2022 - 08/28/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 70269
Introduces the concepts and techniques of computer programming. Particular emphasis on computer programming as a problem-solving technique in science and engineering applications. Good programming style is stressed. Significant out-of-class programming required. Not open to students who have completed CS 415 or the equivalent.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): CS 410, CS 415
Majors not allowed in section: COMPUTER ENG, COMPUTER SCIENC, CS: ALGORITHMS, CS: CYBERSECRTY, CS: SYSTEMS, ELECTRICAL ENG, INFO TECH
Instructors: Arvind Narayan
Start Date End Date Days Time Location
5/23/2022 7/1/2022 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 501 (1ON) - Professional Ethics and Communication in Technology-related Fields

Professional Ethics & Comm

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Summer 2022 - Summer Session II (05/23/2022 - 07/29/2022)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 70171
A mixed lecture/seminar course intended to improve both reasoning and ability to communicate effectively in front of an audience. Students learn basic forms of ethical argument, they read about ethical situations in which technology and technology professions play a key role, and they participate in student-led discussions about the reading. Students also make oral presentations about both ethical and technical topics, and evaluate each other's presentations in order to improve their sense for what makes a good presentation. Prereq: ENGL 401.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANLYTC&DS:ANLY, ANLYTC&DS:DS, COMPUTER SCIENC, CS: ALGORITHMS, CS: CYBERSECRTY, CS: SYSTEMS, INFO TECH
Attributes: Inquiry (Discovery), Environment,Tech&Society(Disc)
Instructors: Rita MacAuslan
Start Date End Date Days Time Location
5/23/2022 7/29/2022 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 515 (01) - Data Structures and Introduction to Algorithms

Data Struct & Intro/Algorithms

Credits: 4.0
Term: Summer 2022 - Summer Session II (05/23/2022 - 07/29/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 70172
Reviews basic data structures; advanced data structures such as graphs, B-trees, and AVL trees; abstract data structure design and programming techniques; use of data abstraction language. Introduction to algorithm analysis. Prereq: CS 416 or CS 417.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: Matthew Plumlee
Start Date End Date Days Time Location
5/23/2022 7/29/2022 TWR 2:30pm - 5:00pm KING N328
Additional Course Details: 

This section represents the last offering of the C++ version of the course. Java will be the standard going forward in the Fall of 2022. Some class periods will join with students from section 02 who are taking the pilot offering of the course with a Java focus. This section is intended for anyone who meets the prerequisites, but strong students who have taken CS 420 are encouraged to enroll for section 02.

Durham   Engineering&Physical Sciences :: Computer Science

CS 761 (01) - Programming Language Concepts and Features

Program Lang Concepts&Features

Credits: 4.0
Term: Summer 2022 - Summer Session II (05/23/2022 - 07/29/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 70781
Explores the main features of modern, high-level, general-purpose programming languages from the user (programmer) standpoint. Students learn how specific features of programming languages can be used effectively in solving programming problems. The course is also an opportunity to use paradigms that expand on simple imperative programming, such as object-oriented, functional and concurrent programming. Prereq: CS 520 with a minimum grade of C-, some knowledge of Java.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): CS 671
Only listed colleges in section: Engineering&Physical Sciences
Instructors: Matthew Plumlee
Start Date End Date Days Time Location
5/23/2022 7/29/2022 TW 6:00pm - 8:00pm KING N328
Durham   Engineering&Physical Sciences :: Computer Science

CS 800 (01) - Internship

Internship

Credits: 1.0
Term: Summer 2022 - Full Term (05/23/2022 - 08/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   10  
CRN: 70224
Provides an opportunity to apply academic experience in settings associated with future professional employment. A written proposal for the internship must be approved by the department chair. The proposal must specify what the student will learn from the internship, why the student is properly prepared for the internship, and what supervision will be available to the student during the internship. A mid-semester report and a final report are required. Permission required. Computer Science majors only. Cr/F.
Dean’s approval required.
Repeat Rule: May be repeated for a maximum of 3 credits.
Only listed majors in section: COMP SCI EXT, COMPUTER SCIENC, COMPUTER SCIENC
Instructors: Elizabeth Varki
Start Date End Date Days Time Location
5/23/2022 8/12/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 861 (01) - Programming Language Concepts and Features

Program Lang Concepts&Features

Credits: 3.0
Term: Summer 2022 - Summer Session II (05/23/2022 - 07/29/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 70782
Explores the main features of modern, high-level, general-purpose programming languages from the user (programmer) standpoint. Students learn how specific features of programming languages can be used effectively in solving programming problems. The course is also an opportunity to use paradigms that expand on simple imperative programming, such as object-oriented, functional and concurrent programming. Prereq: Operating systems fundamentals and Computer organization, some knowledge of Java.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: Matthew Plumlee
Start Date End Date Days Time Location
5/23/2022 7/29/2022 TW 6:00pm - 8:00pm KING N328

DPP 908 (1ON) - Policy Seminar

Policy Seminar

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Summer 2022 - Full Term (05/23/2022 - 08/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 70080
This seminar will reinforce the multidisciplinary breadth and trans-disciplinary perspective of the master's program, providing students with the opportunity to sharpen critical policy analysis skills. The goal of the course is to help students understand the sources of public policy, that is, why we have various public policies and how to produce professional policy analysis.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Stacy VanDeveer
Start Date End Date Days Time Location
5/23/2022 8/12/2022 Hours Arranged ONLINE

DPP 990 (01) - Independent Study

Independent Study

Credits: 3.0
Term: Summer 2022 - Full Term (05/23/2022 - 08/12/2022)
Grade Mode: Letter Grading
Class Size:   6  
CRN: 70184
Under the guidance of an MCD Faculty member, the Independent Study Course (DPP 990) provides students with the opportunity to study a unique topic in-depth that is not offered as a traditional course. Often this topic is a relevant aspect of their capstone project which they wish to explore in more depth.
Repeat Rule: May be repeated for a maximum of 6 credits.
Only listed majors in section: COM DEV PLC PRT
Instructors: Michael Swack, Sanjeev Sharma
Start Date End Date Days Time Location
5/23/2022 8/12/2022 Hours Arranged TBA

DPP 990 (02) - Independent Study

Independent Study

Credits: 3.0
Term: Summer 2022 - Full Term (05/23/2022 - 08/12/2022)
Grade Mode: Letter Grading
Class Size:   6  
CRN: 70651
Under the guidance of an MCD Faculty member, the Independent Study Course (DPP 990) provides students with the opportunity to study a unique topic in-depth that is not offered as a traditional course. Often this topic is a relevant aspect of their capstone project which they wish to explore in more depth.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Michael Swack, Sanjeev Sharma
Start Date End Date Days Time Location
5/23/2022 8/12/2022 Hours Arranged TBA
Durham   Paul College of Business&Econ :: Decision Sciences

DS 898 (01) - Topics in Business Analytics

Top/Tools for Bus. Analytics

Credits: 3.0
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 70928
Special Topics; may be repeated. Pre- and co-requisite courses vary. Please consult time and room schedule for the specific 898 topics section you are interested in for details.
Section Comments: Topics/ Tools for Business Analytics
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 12 credits.
Instructors: Demirhan Yenigun
Start Date End Date Days Time Location
5/23/2022 7/15/2022 T 5:40pm - 9:15pm PBLANE 216
Additional Course Details: 

The goal of this course is to expose students to popular software tools used in all stages of data analytics in business, to create actionable insights. The course will cover and introduce tools for the three key areas of data analytics: a) Data Preparation & Blending (e.g., Alteryx, Tableau Prep) b) Data Analysis & Visualization (e.g., Tableau, Power BI, Amazon Quicksight) c) Model Building (Statistical & Machine Learning) for Predictive Analytics (e.g., Blue Sky (GUI for R), DataRobot). Students will learn about the overall capabilities of these tools and will practice applying them to diverse types of sample data.