Timeroom: Spring 2024

Manchester Coll of Professional Studies :: Computing Technology

COMP 830 (M1) - Software Development

Software Development

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 12
CRN: 52278

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.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Cross listed with : COMP 730.M1

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 835 (M2) - Secure Networking Technologies

Networking Technologies

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 20
CRN: 54915

In this course students study modern computer networking and focus on principles, architectures, protocols, security, and cloud. Modern IT and cloud computing call for expertise in security, which is a theme across all computing subjects, as well as a core area of study. Course requirements include both programming and administrative exercises to explore and gain practice with networking topics.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Instructors: Tim Finan

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	T	1:10pm - 4:00pm	PANDRA P128

Manchester Coll of Professional Studies :: Computing Technology

COMP 840 (M2) - Machine Learning Applications and Tools

ML Applications/Tools

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 20
CRN: 54913

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, including deep learning techniques. Different application domains are considered, such as computer vision, natural language processing, and cyber security. Students learn to evaluate the effectiveness of machine learning systems as well as their potential prediction problems.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Instructors: Karen Jin

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	W	9:10am - 11:00am	PANDRA P142

Manchester Coll of Professional Studies :: Computing Technology

COMP 841 (M1) - Practical Artificial Intelligence

Practical AI

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 14
CRN: 55557

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.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Cross listed with : COMP 741.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 880 (M1) - Topics

Topics/Computer Vision

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 16
CRN: 53620

This course includes topics and emerging areas in computing. Barring duplication of subject the course may be repeated for credit.

Section Comments: Program coordinator permission required.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Repeat Rule: May be repeated up to unlimited times.

Cross listed with : COMP 780.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.

Manchester Coll of Professional Studies :: Computing Technology

COMP 880 (M2) - Topics

Topics/Securing Software

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 20
CRN: 55019

This course includes topics and emerging areas in computing. Barring duplication of subject the course may be repeated for credit.

Section Comments: Program coordinator permission required.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Repeat Rule: May be repeated up to unlimited times.

Instructors: David Yasenchock

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	R	5:40pm - 8:30pm	PANDRA P132

Additional Course Details:

This course will explore the fundamentals of software security, covering important software vulnerabilities and attacks that exploit them. This includes, but not limited to, such topics as buffer overflows, SQL injection, session hijacking and considers defenses that prevent or mitigate these attacks, including advanced testing and program analysis techniques. Will look at techniques at each phase of the development cycle that can be used to strengthen the security of software systems.

Manchester Coll of Professional Studies :: Computing Technology

COMP 880 (M3) - Topics

Top/Computer Vision

Online Course Delivery Method: Online Synchronous

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 20
CRN: 57217

This course includes topics and emerging areas in computing. Barring duplication of subject the course may be repeated for credit.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Repeat Rule: May be repeated up to unlimited times.

Attributes: Scheduled meeting time, Online (no campus visits), EUNH

Instructors: Richard Greene

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	R	9:10am - 12:00pm	ONLINE

Manchester Coll of Professional Studies :: Computing Technology

COMP 885 (M1) - Applied Cryptography

Applied Cryptography

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 17
CRN: 54129

This course aims to give students an overview of cryptographic concepts and methods, a good knowledge of some commonly used cryptographic primitives and protocols, a sound understanding of theory and implementation, as well as limitations and vulnerabilities, and an appreciation of the engineering difficulties involved in employing cryptographic tools to build secure systems. Some programming required.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Cross listed with : COMP 785.M1

Instructors: Michael Jonas

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	T	5:40pm - 8:30pm	PANDRA P142

Manchester Coll of Professional Studies :: Computing Technology

COMP 890 (M1) - Internship and Career Planning

Intern & Career Planning

Credits: 1.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 22
CRN: 55059

This course is recommended for any student seeking internship and/or employment opportunities. Participants research and evaluate computing-related career opportunities related to their interests. create application portfolio, conduct informational interviews, use networking and job search resources, and participate in employer-based resume reviews and mock interviews. This course cannot be repeated for credit.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Instructors: Matthew Salter

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	W	4:10pm - 5:00pm	PANDRA P345

Manchester Coll of Professional Studies :: Computing Technology

COMP 890 (M2) - Internship and Career Planning

Intern & Career Planning

Credits: 1.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 20
CRN: 57259

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Instructors: Omeed Ghafari

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	T	1:10pm - 2:00pm	PANDRA P502