Timeroom: Spring 2022

Displaying 141 - 150 of 371 Results for: Campus = Manchester

COMP 560 (M1) - Ethics and the Law in the Digital Age

Ethics & Law in theDigital Age

Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 52116
Examines classical and ethical and legal constructs as they pertain to current and topical issues. Students develop and articulate a personal point of view on a broad range of issues based on sound ethical principles and consider the impact of such views on co-workers, employers, and society in general. Topics also include: major social issues involving intellectual property, privacy, current U.S. and international relations relevant to ethical theories. The interplay between ethics and law is explored through current case studies and students formulate and support conclusions based on ethical constructs presented in class. Case study analysis is a major component in course delivery. Writing intensive.
Attributes: Writing Intensive Course, Humanities(Disc)
Instructors: Benjamin Myler
Start Date End Date Days Time Location
1/25/2022 5/9/2022 W 5:31pm - 8:30pm PANDRA P126

COMP 560 (M2) - Ethics and the Law in the Digital Age

Ethics & Law in theDigital Age

Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 56973
Examines classical and ethical and legal constructs as they pertain to current and topical issues. Students develop and articulate a personal point of view on a broad range of issues based on sound ethical principles and consider the impact of such views on co-workers, employers, and society in general. Topics also include: major social issues involving intellectual property, privacy, current U.S. and international relations relevant to ethical theories. The interplay between ethics and law is explored through current case studies and students formulate and support conclusions based on ethical constructs presented in class. Case study analysis is a major component in course delivery. Writing intensive.
Attributes: Writing Intensive Course, Humanities(Disc)
Instructors: Benjamin Myler
Start Date End Date Days Time Location
1/25/2022 5/9/2022 R 5:31pm - 8:30pm PANDRA P126

COMP 570 (M1) - Statistics in Computing and Engineering

Statistics in Comp&Engineering

Course Delivery Method: Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 54360
An introduction to tools from probability and statistics that are needed by computing and engineering professionals. Exploratory data analysis including graphic data analysis. discrete and continuous probability distributions, inference, linear regression, and analysis of variance, with applications from artificial intelligence, machine learning, data mining, and related topics. Project work and use of statistical software are an integral part of the course. Prereq: MATH 425.
Start Date End Date Days Time Location
1/25/2022 5/9/2022 T 5:31pm - 8:30pm PANDRA P146

COMP 650 (M1) - Network Administration and Maintenance

Network Admin & Maintenance

Course Delivery Method: Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 54361
Advances the understanding of networks through practical application of administering and maintaining and intranet and its servers. Students use a modern server operating system and network management tools. Routine tasks include: install and configure servers, setup directory services and access privileges, tune network services, understand and implement network security, perform routine maintenance, and practice troubleshooting techniques. Prereq: COMP 550.
Section Comments: Cross listed with COMP 880.M2
Instructors: Donald Combs
Start Date End Date Days Time Location
1/25/2022 5/9/2022 T 5:31pm - 8:30pm PANDRA P128

COMP 690 (M1) - Internship Experience

Internship Experience

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52975
The internship provides field-based learning experience through placement in a computing field. Students gain practical computing experience in a business, non-profit, or government organization. Under the direction of a faculty advisor, the student is expected to contribute to the information technology products, processes, or services of the organization. Majors only. May be repeated but no more than 4 credits may fill major requirements. Prereq: UMST 582.
Section Comments: Cross listed with COMP 891/COMP 892
Instructor permission required.
Repeat Rule: May be repeated for a maximum of 8 credits.
Only listed majors in section: COMPINFOSYS, COMPUTER SCI
Instructors: Karen Jin
Start Date End Date Days Time Location
1/25/2022 5/9/2022 T 9:01am - 11:50am ONLINE
Additional Course Details: 

Registering for academic credit does not complete your required internship approval process. Students must register and “request an experience” in the UNH online platform of Handshake once they have their internship. Visit https://app.joinhandshake.com/experiences/new to complete your approval process.

For more information on how to complete the Handshake approval process visit, https://manchester.unh.edu/student-internships or contact the UNH Manchester Career and Professional Success (CaPS) Office with questions.

COMP 705 (M1) - Full Stack Development

Full Stack Development

Course Delivery Method: Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52117
Students work in teams and implement, test, document, demonstrate, and deploy web systems that solve organizational needs expressed by real clients. Emphasis is on advanced server-side and client-side programming and integration of web application with database and web server applications. Free and open source development and communication tools are used to carry out the course project. Prereq: Senior status.
Section Comments: Cross listed with COMP 805
Only listed classes in section: Junior, Senior
Instructors: Raghava Adusumilli
Start Date End Date Days Time Location
1/25/2022 5/9/2022 W 5:31pm - 8:30pm PANDRA P149

COMP 721 (M1) - Big Data for Data Engineers

Big Data for Data Engineers

Course Delivery Method: Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 53314
In this course students gain practical experience developing data-oriented applications in modern infrastructure frameworks, also known as the cloud data solutions. Guided by what a data scientist profile is, students become familiar with the use cases of data oriented applications. They will apply key data modeling and data design concepts to meet business requirements. Students will also apply modern software development to iteratively construct solutions using established reference architectures. Project work will be based in Google Cloud Platform and Amazon Web Services. Prereq: Senior Status. Special fee.
Section Comments: Cross listed with COMP 821
Only listed campus in section: Manchester
Only listed classes in section: Junior, Senior
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
1/25/2022 5/9/2022 R 1:01pm - 3:50pm PANDRA P132

COMP 725 (M1) - Programming Languages

Programming Languages

Course Delivery Method: Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52142
Explores the main features of modern, high-level, general purpose programming languages from the user point of view. Provides students with an opportunity to use non-imperative programming paradigms, such as object-oriented, functional, and visual, and to learn how specific features of such languages can be used efficiently in solving problems. The purpose is to gain knowledge regarding the languages studied as well as providing the basis to conduct analysis related to comparisons and divergence in capabilities. Prereq: Senior status.
Section Comments: Cross listed with COMP 825. Lab in Rm. 132
Equivalent(s): CIS 698, COMP 698, ET 647
Only listed classes in section: Junior, Senior
Instructors: Michael Jonas
Start Date End Date Days Time Location
1/25/2022 5/9/2022 W 5:31pm - 8:30pm PANDRA P142

COMP 730 (M1) - Software Development

Software Development

Course Delivery Method: Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52118
Presents an iterative methodology for developing software systems. Development activities include requirements elicitation and analysis, system and object design, implementation and testing, project and configuration management, infrastructure maintenance, and system deployment to end user. Students work in teams, assume developer roles, build models of a real-world system, and deliver a proof-of-concept or prototype. Prereq: COMP 525.
Section Comments: Cross listed with COMP 830
Only listed classes in section: Junior, Senior
Attributes: Writing Intensive Course
Instructors: Tanya Bielinski
Start Date End Date Days Time Location
1/25/2022 5/9/2022 M 5:31pm - 8:30pm PANDRA P132

COMP 740 (M1) - Machine Learning Applications and Tools

ML Applications/Tools

Course Delivery Method: Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 56981
Introduces students to practical approaches of machine learning. The course is an exploration of creative applications of artificial intelligence using modern machine learning components and tools. Different application domains are considered, such as computer vision, natural language processing, and cyber security. Students learn to evaluate machine learning systems as well as their potential prediction problems. Cannot receive credit if credit earned for COMP 780 AdvTop/ML Tools & Appl. Prereq: Senior status.
Section Comments: Cross listed with COMP 840
Instructors: Karen Jin
Start Date End Date Days Time Location
1/25/2022 5/9/2022 W 9:01am - 11:50am PANDRA P128