Timeroom: Spring 2023

Displaying 211 - 220 of 392 Results for: Campus = Manchester
Manchester   UNH-Manchester :: Analytics

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

Introduction to Analytics

Credits: 4.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52408
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Attributes: Online with some campus visits, EUNH, Environment,Tech&Society(Disc)
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
1/24/2023 5/8/2023 Hours Arranged ONLINE
1/24/2023 5/8/2023 M 9:01am - 10:50am PANDRA P367
Manchester   UNH-Manchester :: Analytics

DATA 690 (M1) - Internship Experience

Internship Experience

Credits: 4.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Credit/Fail Grading
Class Size:   5  
CRN: 55610
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 Approval Required. Contact Instructor for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 8 credits.
Cross listed with : COMP 690.M1, COMP 891.M1, COMP 892.M1
Attributes: Online with some campus visits, EUNH
Instructors: Karen Jin
Start Date End Date Days Time Location
1/24/2023 5/8/2023 Hours Arranged ONLINE
1/24/2023 5/8/2023 M 9:01am - 11:50am PANDRA P301
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.

Manchester   UNH-Manchester :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Credits: 3.0
Term: Spring 2023 - E-term III (01/17/2023 - 03/10/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 55161
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), EUNH
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
1/17/2023 3/10/2023 Hours Arranged ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Credits: 3.0
Term: Spring 2023 - E-term III (01/17/2023 - 03/10/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 55162
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), EUNH
Instructors: Phani Kidambi
Start Date End Date Days Time Location
1/17/2023 3/10/2023 Hours Arranged ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Credits: 3.0
Term: Spring 2023 - E-term IV (03/20/2023 - 05/11/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 55163
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), EUNH
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
3/20/2023 5/11/2023 Hours Arranged ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 822 (M1) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Credits: 3.0
Term: Spring 2023 - E-term IV (03/20/2023 - 05/11/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 55164
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Mutual Exclusion : ADMN 872
Attributes: Online (no campus visits), EUNH
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
3/20/2023 5/11/2023 Hours Arranged ONLINE

ECN 410 (M1) - History of Literary Economics

History of Literary Economics

Credits: 4.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 55077
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Attributes: Writing Intensive Course, Inquiry (Discovery), Humanities(Disc)
Instructors: Thomas Birch
Start Date End Date Days Time Location
1/24/2023 5/8/2023 M 1:01pm - 3:50pm PANDRA P341

ECN 411W (M1) - Introduction to Macroeconomic Principles

Intro to Macroeconomic Prin

Credits: 4.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 55078
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register 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
1/24/2023 5/8/2023 W 1:01pm - 3:50pm PANDRA P341

ECN 412 (M1) - Introduction to Microeconomic Principles

Intro to Microeconomic Princ

Credits: 4.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 55080
Studies the behavior and interaction of fundamental decision-making units in an economy, especially consumers and business firms. Applies such economic principles as scarcity, supply and demand, and elasticity to a variety of social issues. Topics include the resource allocation problems of households and business firms, economic theories of social problems (such as crime, divorce, and discrimination), and the economic implications of government policies affecting the environment, the workplace, and industrial organization.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Equivalent(s): ECN 412W
Mutual Exclusion : ECON 402, ECON 402A, ECON 402H, EREC 411
Attributes: Social Science (Discovery), Online with some campus visits, EUNH
Instructors: Todd Bohan
Start Date End Date Days Time Location
1/24/2023 5/8/2023 M 6:01pm - 9:00pm PANDRA P341
1/24/2023 5/8/2023 Hours Arranged ONLINE

ECN 640 (M1) - Business Law and Economics

Business Law and Economics

Credits: 4.0
Term: Spring 2023 - UNHM Credit (15 weeks) (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 55079
A study of the legal environment of business. Emphasis is on using economic analysis to examine laws of property, contract, and tort affecting business. Includes the ethical foundations of law and ethical issues involving business. Specific topics may include commercial free speech, white collar crime and managerial responsibility, product liability, cyberlaw, copyright, trademark and patent law. Prereq: ADM 400, ECN 412, and sophomore standing or permission of the instructor. Writing intensive.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Equivalent(s): ECN 540
Attributes: Writing Intensive Course, Online with some campus visits, EUNH
Instructors: Thomas Birch
Start Date End Date Days Time Location
1/24/2023 5/8/2023 Hours Arranged ONLINE
1/24/2023 5/8/2023 F 9:01am - 11:50am PANDRA P341