• EGMT 2500

    Integration and Learning in the Engagements
     Rating

     Difficulty

     GPA

    4.00

    Last Taught

    Spring 2026

    This course will take second year students into a deeper dive into the Engagements, both in exposure to new ideas and through practice. The course will also provide pedagogical strategies for serving as UTAs. Goals include teaching students how to effectively lead discussions, formulate open but focused questions, & help first year Engagement students make connections. Students must have completed EGMT 1510,1520,1530&1540.

  • ENCW 2559

    New Course in Creative Writing
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2026

    This course provides the opportunity to offer new topics in the subject of Creative Writing.

  • ENCW 2600

    Fiction Writing
     Rating

    4.65

     Difficulty

    2.05

     GPA

    3.78

    Last Taught

    Spring 2026

    An introduction to the craft of writing fiction, with relevant readings in the genre. For more details on creative writing courses, see our program website at creativewriting.virginia.edu.

  • CGBM 2710

    Making Financial Decisions
     Rating

    4.33

     Difficulty

    3.00

     GPA

    3.46

    Last Taught

    Spring 2026

    In this course, students will learn the fundamental building blocks of valuing streams of cash flows whether from a financial asset or investment project. Topics to be covered may include the time value of money, discounting, compounding, investment rules including estimating the net present value of a project, and the basics of capital budgeting.

  • EBUS 2730

    Deals & Negotiations for Engineers
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2026

    The course will not only teach the components of doing a transaction but also the skills necessary to negotiate effectively and work with legal partners. Agreement types important to the technology sector will be explored. Students will learn from readings, case studies, projects, and in-class discussions.

  • LPPL 2750

    Teambuilding and Facilitation
     Rating

     Difficulty

     GPA

    3.74

    Last Taught

    Spring 2026

    Effective facilitators are architects of engagement. Take part in practical facilitation, bridging theory, & real-world scenarios. Develop facilitation skills, clear communication, & strategies for effective group development. Emphasis placed on facilitation practice, allowing students to gain experience & insight from collective feedback.

  • UNST 2811

    Introduction to Academic Research Part II
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2026

    This course is intended for participants in the Undergraduate Student Opportunities in Academic Research (USOAR) program.

  • EBUS 2830

    Innovation and New Ventures
     Rating

     Difficulty

     GPA

    3.94

    Last Taught

    Spring 2026

    An introduction to concepts innovators use to solve problems and create value by addressing unmet needs. Learn how to identify and evaluate opportunities and use proven entrepreneurial frameworks to create new products and businesses for companies of all sizes. Through class activities, projects, and presentations you will learn how storytelling, teamwork, and leadership skills are essential for starting, funding, and building your business. Prerequisite: EBUS 1800

  • EBUS 2850

    Government and Entrepreneurship
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2026

    The course explores government contracting, how the government procures products and services, and opportunities created through government regulation. Pre-requisite: STS 1500 or ENGR 1020 or ENGR 2595-Engineering Foundations II.

  • DS 3001

    Foundations of Machine Learning
     Rating

    4.00

     Difficulty

    3.25

     GPA

    3.91

    Last Taught

    Spring 2026

    This course exposes students to foundational knowledge in each of the four high level domain areas of data science (Value, Design, Analytics, Systems). This includes an emphasis on ethical issues surrounding the field of data science and how these issues originate and extend into society more broadly.