Instructor Pool - Online Data Analytics, Data Science, Software Development, and Cybersecurity Programs - UC Berkeley Extension

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.

Courses are offered online:

• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.

Data Analytics and Data Science

• Introduction to SQL
• Introduction to Databases
• Data Warehousing and Business Intelligence
• Data Visualization
• Introduction to Data Analytics
• Python for Data Analysis
• R for Data Analysis
• Data Analytics Capstone
• Introduction to Big Data
• Introduction to Data Science
• Introduction to Machine Learning Using Python
• Machine Learning and Deep Learning
• Artificial Intelligence Foundations
• Data Science Capstone

Software Development and Advanced Software Development

• Introduction to C Language Programming
• C++ Programming
• First Course in Java
• Programming Python
• Data Structures and Algorithms
• Front-End Web Development
• JavaScript Frameworks
• Modern Web Applications and Cloud Computing
• Software Design Patterns
• Software Quality Assurance
• Software Development Capstone
• Java: Discovering Its Power
• Mastering Python
• Back-End Development with Java/Python
• Web Software Security Frameworks
• Advanced Databases
• Advanced Software Development Capstone

Cybersecurity

• Advanced Network Cybersecurity and AI Monitoring
• Cybersecurity AI Risk Management and Governance
• Automated Cybersecurity Incident Response and Digital Forensics
• Advanced Topics in AI Cybersecurity and Capstone

Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.

• All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: https://extension.berkeley.edu/academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: https://extension.berkeley.edu/academic-areas/technology-and-information-management/#!?tab=courses

• Bachelor's degree or equivalent international degree required.

• 5 or more years of professional industry work experience since degree.

• 6 or more years of professional industry work experience in the course subject.
• Advanced degree in course subject preferred.
• Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
• Experience teaching online and/or developing academic content for online courses.
• Ability to convey conceptual and complex ideas and information.
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
• Effective verbal/written communication and presentation skills (English).
• Effective organizational skills with attention to detail.
• Ability to collaborate with colleagues and work within a team environment.
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).

• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affirmative Action and Nondiscrimination in Employment