Timeroom: Spring 2024

Displaying 141 - 150 of 364 Results for: Campus = Manchester
Manchester   Coll of Professional Studies :: Computing Technology

COMP 570 (M1) - Statistics in Computing and Engineering

Statistics in Comp&Engineering

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 53167
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 425
Start Date End Date Days Time Location
1/23/2024 5/6/2024 T 5:40pm - 8:30pm PANDRA P126
Manchester   Coll of Professional Studies :: Computing Technology

COMP 650 (M1) - Network Administration and Maintenance

Network Admin & Maintenance

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56853
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): COMP 550
Instructors: Donald Cochrane
Start Date End Date Days Time Location
1/23/2024 5/6/2024 M 5:40pm - 8:30pm PANDRA P128
Manchester   Coll of Professional Studies :: Computing Technology

COMP 690 (M1) - Internship Experience

Internship Experience

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52279
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.
Section Comments: Instructor permission required.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Prerequisite(s): UMST 582
Repeat Rule: May be repeated for a maximum of 8 credits.
Cross listed with : COMP 891.M1, COMP 892.M1
Only listed majors in section: COMPINFOSYS, COMPUTER SCI
Instructors: Karen White
Start Date End Date Days Time Location
1/23/2024 5/6/2024 M 9:10am - 12:00pm PANDRA P301
Manchester   Coll of Professional Studies :: Computing Technology

COMP 690 (M2) - Internship Experience

Internship Experience

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 57213
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.
Section Comments: Instructor permission required.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Prerequisite(s): UMST 582
Repeat Rule: May be repeated for a maximum of 8 credits.
Cross listed with : COMP 892.M2
Instructors: Karen Jin
Start Date End Date Days Time Location
1/23/2024 5/6/2024 M 1:10pm - 4:00pm PANDRA P301
Manchester   Coll of Professional Studies :: Computing Technology

COMP 705 (M1) - Full Stack Development

Full Stack Development

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   6  
CRN: 51646
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.
Section Comments: Permission from undergraduate coordinator needed to register
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Cross listed with : COMP 805.M1
Only listed classes in section: Junior, Senior
Instructors: Ken Gitlitz
Start Date End Date Days Time Location
1/23/2024 5/6/2024 M 5:10pm - 8:00pm PANDRA P132
Manchester   Coll of Professional Studies :: Computing Technology

COMP 721 (M1) - Big Data for Data Engineers

Big Data for Data Engineers

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   2  
CRN: 52525
Special Fees: $25.00
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.
Section Comments: Permission from undergraduate coordinator needed to register
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Cross listed with : COMP 821.M1
Only listed campus in section: Manchester
Only listed classes in section: Junior, Senior
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
1/23/2024 5/6/2024 R 5:10pm - 8:00pm PANDRA P149
Manchester   Coll of Professional Studies :: Computing Technology

COMP 725 (M1) - Programming Languages

Programming Languages

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 51668
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Equivalent(s): CIS 698, COMP 698, ET 647
Cross listed with : COMP 825.M1
Only listed classes in section: Junior, Senior
Instructors: Michael Jonas
Start Date End Date Days Time Location
1/23/2024 5/6/2024 W 5:40pm - 8:30pm PANDRA P142
Manchester   Coll of Professional Studies :: Computing Technology

COMP 730 (M1) - Software Development

Software Development

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   8  
CRN: 51647
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): COMP 525
Cross listed with : COMP 830.M1
Only listed classes in section: Junior, Senior
Attributes: Writing Intensive Course
Instructors: Takahide Ohkami
Start Date End Date Days Time Location
1/23/2024 5/6/2024 W 9:10am - 12:00pm PANDRA P149
Manchester   Coll of Professional Studies :: Computing Technology

COMP 741 (M1) - Practical Artificial Intelligence

Practical AI

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   6  
CRN: 57192
Balancing the science of AI with its engineering applications, the course focuses on AI foundations and principles for building intelligent computational systems. Reasoning, planning, learning, explaining, and acting with certainty and uncertainty are AI areas in which students will practice how to build AI systems that solve real-world problems. Particular attention is given to the impact of AI applications on our society and related ethical, privacy, security, and safety implications.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): COMP 525
Cross listed with : COMP 841.M1
Instructors: Mihaela Sabin
Start Date End Date Days Time Location
1/23/2024 5/6/2024 T 1:10pm - 4:00pm PANDRA P149
Manchester   Coll of Professional Studies :: Computing Technology

COMP 780 (M1) - Advanced Topics in Computing

AdvTop/Computer Vision

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   4  
CRN: 54911
The course includes advanced topics and emerging areas in computing. Barring duplication of subject, the course may be repeated for credit.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : COMP 880.M1
Instructors: Richard Greene
Start Date End Date Days Time Location
1/23/2024 5/6/2024 T 9:10am - 12:00pm PANDRA P126
Additional Course Details: 

Computer vision is powering technologies ranging from computer graphics to social robotics to autonomous vehicle. The course introduces tools of signal and image processing right up to neural networks. Students will write and debug programs that process images or video streams and construct recognizers to identify objects of interest for various purposes, such as scene understanding, facial recognition, or medical image processing. Students will work on a project of a topic of their choice and apply computer vision concepts, techniques, and tools to build computer vision applications.