Timeroom: Spring 2023

Displaying 201 - 210 of 1182 Results for: Level = All Graduate
Manchester   UNH-Manchester :: Computing Technology
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COMP 821 (M1) - Big Data for Data Engineers

Big Data for Data Engineers

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 52927
In this course students gain practical experience developing data-oriented applications in modern infrastructure frameworks, also known as 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. Special fee.
Section Comments: Cross listed with COMP 721
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : COMP 721.M1
Instructors: Anthony Sulpizio, Timothy Chadwick
Start Date End Date Days Time Location
1/24/2023 5/8/2023 R 5:31pm - 8:30pm PANDRA P149
Manchester   UNH-Manchester :: Computing Technology
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COMP 825 (M1) - Programming Languages

Programming Languages

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52664
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.
Section Comments: Cross listed with COMP 725
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Cross listed with : COMP 725.M1
Instructors: Michael Jonas
Start Date End Date Days Time Location
1/24/2023 5/8/2023 W 5:31pm - 8:30pm PANDRA P142
Manchester   UNH-Manchester :: Computing Technology
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COMP 830 (M1) - Software Development

Software Development

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52665
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.
Section Comments: Cross listed with COMP 730. Graduate Coordinator permission
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
1/24/2023 5/8/2023 W 9:01am - 11:50am PANDRA P149
Manchester   UNH-Manchester :: Computing Technology
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COMP 835 (M1) - Secure Networking Technologies

Networking Technologies

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   23  
CRN: 52663
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.
Section Comments: Graduate Program Coordinator Approval
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
1/24/2023 5/8/2023 R 1:01pm - 3:50pm PANDRA P142
Manchester   UNH-Manchester :: Computing Technology
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COMP 835 (M2) - Secure Networking Technologies

Networking Technologies

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   23  
CRN: 56514
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.
Section Comments: Graduate Program Coordinator Approval
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
1/24/2023 5/8/2023 T 1:01pm - 3:50pm PANDRA P149
Manchester   UNH-Manchester :: Computing Technology
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COMP 835 (M4) - Secure Networking Technologies

Networking Technologies

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   21  
CRN: 56810
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.
Section Comments: Graduate Program Coordinator Approval
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Cross listed with : COMP 780.M2
Instructors: Donald Cochrane
Start Date End Date Days Time Location
1/24/2023 5/8/2023 M 5:31pm - 8:30pm PANDRA P142
Manchester   UNH-Manchester :: Computing Technology
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COMP 840 (M1) - Machine Learning Applications and Tools

ML Applications/Tools

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 55221
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.
Section Comments: Restricted to new graduate students admitted Spring 2023. Graduate Program Coordinator Approval
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Karen Jin
Start Date End Date Days Time Location
1/24/2023 5/8/2023 W 1:01pm - 3:50pm PANDRA P142
Manchester   UNH-Manchester :: Computing Technology
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COMP 840 (M2) - Machine Learning Applications and Tools

ML Applications/Tools

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56512
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.
Section Comments: Restricted to new graduate students admitted Spring 2023. Graduate Program Coordinator Approval
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Karen Jin
Start Date End Date Days Time Location
1/24/2023 5/8/2023 W 9:01am - 11:50am PANDRA P142
Manchester   UNH-Manchester :: Computing Technology
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COMP 840 (M3) - Machine Learning Applications and Tools

ML Applications/Tools

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56811
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.
Section Comments: Graduate Program Coordinator Approval
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Robert Casazza
Start Date End Date Days Time Location
1/24/2023 5/8/2023 T 5:01pm - 8:00pm PANDRA P146
Manchester   UNH-Manchester :: Computing Technology
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COMP 880 (M1) - Topics

Topics/Computer Vision

Credits: 3.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 54344
This course includes topics and emerging areas in computing. Barring duplication of subject the course may be repeated for credit.
Section Comments: Cross listed with COMP 780
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
1/24/2023 5/8/2023 T 9:01am - 11:50am 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.