Adjunct Instructor in Software Development in Python

• Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
• Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
• Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
• Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online “netiquette,” and ensuring the course meets accessibility and technical visibility standards before and during the term.

Brandeis University’s Rabb School is seeking an Adjunct Faculty member for RSEG 111: Software Development in Python, for the 2027 Spring 1 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Software Engineering Software Engineering Artificial Intelligence Track and Software Engineering with Artificial Intelligence Online Master’s Certificate.

Course Description: This course involves software development, scientific problem-solving and machine learning approaches using Python. Topics include procedures and functions, iteration, recursion, arrays and vectors, strings, an operational model of procedure and function calls, algorithms, exceptions, object-oriented programming, and GUIs (graphical user interfaces). Students will practice scientific programming and machine learning approaches using libraries such as SciPy, NumPy, Keras or Pytorch., + Master’s degree (Doctorate preferred) in Computer Science or in a relevant discipline

• At least 1 year of teaching or training experience (preferably online/asynchronous)
• Proficiency with LMS platforms and digital authoring tools
• Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork
• Strong communication, organization, and independent work skills
• Preferred:
• Experience teaching or developing graduate-level online courses
• Prior online teaching experience at the graduate level
• Knowledge of global learner personas and culturally responsive pedagogy
• Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)