Adjunct Lecturer

Teaching Areas Adjunct assignments come from courses such as those listed below. In your cover letter, please name the specific courses you are prepared to teach. Full descriptions are available in the Bentley course catalog at catalog.bentley.edu.

Information technology foundations

• CS 100 Solving Business Problems with Information Technology (Excel, productivity tools, and emerging technologies) Data and databases
• CS 150 Introduction to Data and Information Management; CS 160 Data-Driven Decision Making; CS 350 Database Management Systems
• Graduate: CS 605 Data Management and SQL for Analytics; CS 650 Data Analytics Architectures with Big Data; CS 753 Business Intelligence Methods and Technologies

Programming and application development

• CS 180 Programming Fundamentals (Java); CS 213 Web Development and Programming; CS 230 Introduction to Programming with Python; CS 280 Object-Oriented Application Development; CS 380 Multi-Tiered Application Development; CS 480 Advanced Application Development Technology Artificial intelligence and analytics
• CS 250 AI Foundations and Applications in Business; CS 370 Introduction to Machine Learning Cybersecurity and infrastructure
• CS 240 Business Processing and Communications Infrastructure; CS 341 Information Security and Computer Forensics; CS 342 Cybersecurity Business processes, systems analysis, and enterprise systems
• CS 305 Business Processes and Systems; CS 330 Enterprise Systems Configuration for Business (SAP); CS 360 Business Systems Analysis and Modeling; CS 460 Applied Software Project Management Financial technology (with the Finance Department)
• FT 323 Introduction to FinTech; FT 324 Blockchain Applications and Decentralized Finance; FT 370 Investment Applications of Natural Language Processing

Responsibilities

• Teach assigned sections consistent with the approved catalog description and course learning outcomes
• In coordinated multi-section courses, teach from the shared syllabus, assessments, and Brightspace course template, and participate in coordinator meetings
• Hold all class meetings and exams as scheduled in the academic calendar, starting and ending each class on time
• Post your syllabus in Brightspace before classes begin, provide timely feedback, keep the Brightspace gradebook current, and submit final grades by university deadlines
• Hold consistent, in-person office hours and respond promptly to inquiries from students, the department chair, and course coordinators
• Uphold Bentley's academic integrity policies and set clear expectations for student use of generative AI in your course
• Work with Student Accessibility Services to provide approved accommodations
• Contribute to assurance of learning assessment when your course is selected
• Encourage students to complete FLEX (Feedback on the Learning Experience) each semester, and use the results to strengthen your teaching
• Keep course examples current with professional practice
• Complete required university onboarding and training

Qualifications

Required

• A graduate degree related to the courses you will teach: a doctorate, or a master's degree in information systems, computer science, data science or analytics, cybersecurity, software engineering, or a closely related field. For FinTech courses, a graduate degree in finance or a related field combined with substantial technology experience is also appropriate.
• For candidates without a doctorate, professional experience in the subject you will teach that is significant in both duration and level of responsibility
• Ability to teach in person on Bentley's Waltham campus
• Ability to explain technical material clearly to business students

DIVERSITY STATEMENT

Equal employment opportunity, including veterans and individuals with disabilities

View the full Job Description (https://www.click2apply.net/kkLjrmHDn8eN7ckjRt48pr)

PI287954297