Timeroom: Spring 2024

Displaying 941 - 950 of 1326 Results for: Level = All Graduate
Durham   Life Sciences & Agriculture :: Natural Resources

NR 913 (01) - Hierarchical Modeling in Ecology

Hierarchical Modeling Ecology

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56699
This course uses modern Bayesian statistical modeling approaches to analyze ecological data, with an emphasis on applied hierarchical models. These models will be used to examine ecological systems and related topics including: population and community dynamics, experimental design, spatial patterns, species abundance and diversity, community organization, metapopulations, and landscape processes. To be successful in the course students should have taken a course in statistics and have working knowledge of the R programming language.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Rem Moll
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 10:10am - 12:00pm KING N129
Durham   Life Sciences & Agriculture :: Natural Resources

NR 947 (01) - Ecosystem Science: Theory, Practice, and Management Applications for Sustainability

Ecosystem Science

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56700
This course is designed for graduate students to explore in detail the fundamental principles and practical application of ecosystem science. Emphasis will be placed on understanding historical context as well as the most recent peer-reviewed literature. Writing assignments will emphasize local, regional, and international applications of ecosystem science to address environmental sustainability.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Adam Wymore
Start Date End Date Days Time Location
1/23/2024 5/6/2024 TR 8:10am - 9:30am JAMS 144
Durham   Life Sciences & Agriculture :: Natural Resources

NR 993 (01) - Natural and Environmental Resources Seminar

Sem/Invasions Ecology

Credits: 2.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   30  
CRN: 51775
Presentation and discussion of recent research, literature, and policy problems in the natural and social sciences influencing resource use.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Jeffrey Garnas
Start Date End Date Days Time Location
1/23/2024 5/6/2024 Hours Arranged TBA
Durham   Life Sciences & Agriculture :: Natural Resources

NR 995 (01) - Investigations

Investigations

Credits: 1.0 to 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52592
Investigations in Natural Resources may include topics in environmental conservation, forestry, soil science, water resources, and wildlife management.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/23/2024 5/6/2024 Hours Arranged TBA
Durham   Life Sciences & Agriculture :: Natural Resources

NR 996 (01) - Natural Resource Education

Natural Resource Education

Credits: 2.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   20  
CRN: 50718
Responsibilities include set-up, teaching, and grading of one lab section per week or equivalent lecture experience. Meets the teaching requirement for M.S. degree students.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Rebecca Rowe
Start Date End Date Days Time Location
1/23/2024 5/6/2024 Hours Arranged TBA
Durham   Life Sciences & Agriculture :: Natural Resources

NR 998 (01) - Directed Research

Directed Research

Credits: 1.0 to 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 50283
Student designs and conducts original research that culminates in a paper of publishable quality. Alternative to NR 899 for those choosing non-thesis degree option. IA (continuous grading).
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 4 credits.
Instructors: Rebecca Rowe
Start Date End Date Days Time Location
1/23/2024 5/6/2024 Hours Arranged TBA

NRES 995 (01) - Independent Study

Independent Study

Credits: 1.0 to 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 51269
Independent Study.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/23/2024 5/6/2024 Hours Arranged TBA
Manchester   Coll of Professional Studies :: Nat Sec Intel Analysis

NSIA 820 (M1) - Intelligence Analysis

Intelligence Analysis

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2024 - Term 3 (01/23/2024 - 03/15/2024)
Grade Mode: Letter Grading
Class Size:   27  
CRN: 54055
In this class we define intelligence and focus on analysis. We identify intelligence organizations relationships with policymakers and the types of intelligence products they produce. Students will learn to identify and create intelligence requirements and the related variables and collection targets. We will explore analytical approaches and develop critical thinking skills. In this class we will define data, the causes of intelligence failures, and identify creativity in intelligence analysis.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: NAT SEC INT ANL
Instructors: John Borek
Start Date End Date Days Time Location
1/23/2024 3/15/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Nat Sec Intel Analysis

NSIA 830 (M1) - National Security Research Design and Methods

NATSEC Research Methods

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2024 - Term 3 (01/23/2024 - 03/15/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 54056
In this class students explore the differences between academic research and intelligence analysis. We will explore research design and how to select a research approach based on intelligence requirements. You will learn about the ethical conduct of social science research. Building on the framework of intelligence requirements you will learn how to define a research problem and develop related research questions, hypothesis, and design research using appropriate methods.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: NAT SEC INT ANL
Instructors: Bridget Nolan
Start Date End Date Days Time Location
1/23/2024 3/15/2024 Hours Arranged ONLINE