Timeroom: Spring 2022

Displaying 191 - 200 of 397 Results for: Campus = Manchester

CPRM 899 (M1) - Capstone: Thesis Option

Capstone: Thesis Option

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   1  
CRN: 55310
Students synthesize, evaluate, and integrate past experiences, new research, and the cross-disciplinary knowledge constructed during this degree program to create a publishable quality, graduate-level thesis. In continuation with an advisor, each student develops a project plan; establishes goals and objectives; collects and analyzes information; and prepares and delivers a final product agreed upon by the student and advisor. Prereq: CPRM 720 / CPRM 820, CPRM 870 & (CPRM 879 or EDUC 882). Pre- or Co-req: CPRM 790 / CPRM 890.
Section Comments: Tech requirements: microphone & webcam
Instructor permission required.
Repeat Rule: May be repeated for a maximum of 6 credits.
Only listed majors in section: CYBR SEC PRM
Instructors: Maeve Dion
Start Date End Date Days Time Location
3/21/2022 5/12/2022 Hours Arranged ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 557 (M1) - Introduction to Data Science and Analytics

Introduction to Analytics

Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52687
An introduction to data science and analytics. The landscape of analytics, including an overview of industries and sectors using analytics or expected to use analytics in the near future. Data generation, data management, data cleaning, and data preparation. Ethical use of data. Focus on visual and exploratory analysis. Project-based, with an emphasis on collaborative, experiential learning. Programming and statistical software will be used, but previous experience is not required.
You must sign up in the Dept Office before registering through WEBCAT.
Attributes: Environment,Tech&Society(Disc)
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
1/25/2022 5/9/2022 M 9:01am - 10:50am PANDRA P101
Manchester   UNH-Manchester :: Analytics

DATA 675 (M1) - Predictive and Prescriptive Analytics II

Predictive Analytics II

Online 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:   20  
CRN: 56917
A second course in predictive and prescriptive analytics. Time series analysis and model ensembles. Bootstrapping, simulation, optimization. Monte Carlo methods. Project-based, with an emphasis on collaborative experiential learning. Statistical software will be used and programming required. Prereq: DATA 674.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
1/25/2022 5/9/2022 M 1:01pm - 2:50pm ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 690 (M1) - Internship Experience

Internship Experience

Online 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: Credit/Fail Grading
Class Size:   5  
CRN: 57394
A field-based learning experience via placement in a business, non-profit, or government organization using analytics. Under the guidance of a faculty advisor and workplace supervisor, students gain practical experience solving problems and improving operational processes using analytics. May be repeated but no more than 4 credits may fill major requirements. Prereq: UMST 582.
Section Comments: Cross listed with COMP 690, COMP 891, COMP 892
Instructor permission required.
Repeat Rule: May be repeated for a maximum of 8 credits.
Instructors: Karen Jin
Start Date End Date Days Time Location
1/25/2022 5/9/2022 T 9:01am - 11:50am ONLINE
Manchester   Graduate School :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2022 - E-term III (01/18/2022 - 03/11/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56918
This course is designed to give students a solid understanding of the experience in probability, and inferential statistics. The course provides a foundational understanding of statistical concepts and tools required for decision making in a data science, business, research or policy setting. The course uses case studies and requires extensive use of statistical software.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
1/18/2022 3/11/2022 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2022 - E-term III (01/18/2022 - 03/11/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56919
In this class, students will build their foundational toolbox in data science: upon completion, students will be able to use the computer from the command line; practice version control with GIT & GitHub; gain a mastery of programming in Python; data wrangling with Python and perform an exploratory data analysis (EDA) in Python. All learning objectives are achieved through active application of these techniques to real world datasets. Pre- or Coreq: DATA 800.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Phani Kidambi
Start Date End Date Days Time Location
1/18/2022 3/11/2022 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56920
In this class, students will learn the foundations of databases and large datasets: upon completion, students will be able to explore out-of-ram datasets though traditional SQL databases and NoSQL databases. Students will also be introduced to distributed computing. All learning objectives are achieved through active application of these techniques to world datasets. Prereq: DATA 800; DATA 820.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
3/21/2022 5/12/2022 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 822 (M1) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56921
In this class, students will learn foundations of practical machine learning: upon completion, students will be able to understand and apply supervised and unsupervised learning in Python to build predictive models on real world datasets. Techniques covered include (but not limited to): preprocessing, dimensionality reduction, clustering, feature engineering and model evaluation. Models covered include: generalized linear models, tree-based models, bayesian models, support vector machines, and neural networks. All learning objectives are achieved through active application of these techniques to real world datasets. Prereq: DATA 800; DATA 820 Pre- or Coreq: DATA 821.
You must sign up in the Dept Office before registering through WEBCAT.
Mutual Exclusion : ADMN 872
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
3/21/2022 5/12/2022 Hours Arranged ONLINE

ECN 410 (M1) - History of Literary Economics

History of Literary Economics

Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56827
An examination of the contributions of fiction writers to the history of economic thought. Novels and short stories are analyzed in conjunction with studying influential and heterodox schools of economic thought. Fiction writers will vary by semester (e.g., Mark Twain, Edith Wharton, Charlotte Perkins Gilman, Theodore Dreiser, Jack London, Ayn Rand, F. Scott Fitzgerald and Louisa May Alcott). Schools of economic thought examined include critics as well as advocates of free market capitalism. Writing intensive.
You must sign up in the Dept Office before registering through WEBCAT.
Attributes: Writing Intensive Course, Inquiry (Discovery), Humanities(Disc)
Instructors: Thomas Birch
Start Date End Date Days Time Location
1/25/2022 5/9/2022 M 1:01pm - 3:50pm PANDRA P307

ECN 411W (M1) - Introduction to Macroeconomic Principles

Intro to Macroeconomic Prin

Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56828
Studies how an economy functions. Develops measures and theories of economic performance to study such issues as unemployment, inflation, international trade and finance, and the level of national production. Examines government policies designed to correct for unemployment and inflation with close attention to the use of fiscal and monetary policies in the U.S.
You must sign up in the Dept Office before registering through WEBCAT.
Equivalent(s): ECN 411
Mutual Exclusion : ECON 401, ECON 401H
Attributes: Writing Intensive Course, Social Science (Discovery)
Instructors: Thomas Birch
Start Date End Date Days Time Location
1/25/2022 5/9/2022 W 9:01am - 11:50am PANDRA P307