Affiliate Instructor, Department of Computer Sciences

Metropolitan State University of Denver•Denver, CO

5d•$1,264 - $1,482•Hybrid

About The Position

Department Computer Science By applying to this posting, you are entering an applicant pool for affiliate faculty. Screening of applicants will take place when positions come available. The number of these temporary, part-time, non-tenure track academic positions varies from semester to semester, depending on the needs of the program. As such, not everyone in the applicant pool for this position will be contacted and/or selected to teach. About the University Established in 1965, Metropolitan State University (MSU Denver) was founded to serve students who were underrepresented in higher education whose life paths and experiences did not fit the traditional mold. Sixty years later, the University continues to serve over 16,000 of Colorado’s extraordinary and diverse students, providing them with the foundation on which to build their unique aspirations. As the third largest public institution of higher education in Colorado, MSU Denver is a model university for today’s college students. Proud of its federal designation as a Hispanic-Serving Institution that also offers graduate programs (gHSI) and the only Seal of Excelencia certified institution in Colorado, the University serves the most diverse undergraduate student population in the state, as well as the most first-generation students. Through affordable, flexible, and holistic education, MSU Denver helps students build essential skills grounded in a multicultural and global perspective that lead to undergraduate and graduate degrees, and career and life success. About the Department of Computer Sciences The Department of Computer Science is a dynamic and innovative department, with 12 full-time tenure-track/tenured and lecturing professors. Our faculty members are recognized leaders in their fields, frequently interviewed by TV programs for their expert insights and have received prestigious NSF funding and external industry funding. Our faculty members are actively engaged in many conferences, including in Computer Science Research and Computer Science Education. The department offers BS in Computer Science, BS in Data Science and Machine Learning, as well as interdisciplinary programs in Cybersecurity. Additionally, the department is home to numerous student clubs that foster community, innovation, and professional development among our students. For more information about the Department of Computer Sciences in our College of Aerospace, Computing, Engineering, and Design, please visit: https://www.msudenver.edu/computer-sciences. Position Summary The Department of Computer Sciences at Metropolitan State University of Denver (MSU Denver) invites applications for part-time affiliate faculty teaching positions. We seek dynamic educators with a passion for computer science and a commitment to inclusive, experiential learning.

Requirements

Master's degree in Computer Science or related fields

Nice To Haves

Doctoral degree in Computer Science or related fields

Responsibilities

Deliver engaging undergraduate and/or graduate courses in computer science
Incorporate experiential learning opportunities into course design
Foster an inclusive classroom environment that encourages diversity of thought and experience
Teaching assigned classes in person or online by delivering course content to students
Preparing course materials and lesson plans
Grading student work
Providing students with robust feedback in a timely manner
Addressing student questions consistent with university, college/school, and department policies
Providing online or in person academic support to students as needed and appropriate for the teaching assignment
Providing instruction in assigned classes consistent with the content and learning objectives of the regular course syllabus and, if required, with department course coordination policies
Complying with university-wide student evaluation of instruction policies and peer observation policies
The ability to adapt and learn new modes of instruction is highly encouraged
Candidates need to be sensitive to the educational needs of a diverse student population