Program Overview

Program Overview

The University of British Columbia offers various programs through its Extended Learning platform. These programs cater to diverse interests and professional development needs.

Areas of Study

• Coaching and leadership
  • Career coaching
  • Organizational coaching
• Communication
  • English communication skills
  • Intercultural communication
  • Science communication
• Environment and sustainability
  • Blue economy
  • Climate change
• Equity, diversity, inclusion, and anti-racism
  • Anti-racism
  • Equitable systems design
  • Equity, diversity, and inclusion
  • Intercultural communication
• Health and medicine
  • Health analytics
  • Healthcare financial management
  • Indigenous health administration
  • Life sciences
  • Occupational health and safety
  • Regulatory affairs
  • Science communication
• Humanities and social sciences
  • Liberal arts and sciences
  • Political science
• Languages
  • American sign language
  • Arabic
  • Chinese reading and writing
  • English communication skills
  • Farsi
  • French conversation
  • French reading and writing
  • German
  • Italian and Portuguese
  • Japanese
  • Korean
  • Mandarin
  • Spanish conversation
  • Spanish reading, writing, and Latin American culture
  • Swahili
• Law
  • Mining law
• Pre-university for high school students
  • Academic
  • Technology courses for teens
  • University applications and skills
• Technology
  • Artificial intelligence (AI)
  • Cloud computing
  • Cybersecurity
  • Data science
  • Game design and development
  • Software development
  • Technology courses for teens
• Writing
  • Foundational writing
  • Freelance writing and self-expression
  • Marketing and website writing
  • Workplace writing

Specific Program Details

Intro to Systematic Program Design in Python Part 1

• Format: Online
• Tuition: $995
• Description: This course focuses on fundamental concepts and practical tech skills for immediate application in your current work. It teaches beginner-friendly programming using Python, helping you develop methods and skills that are transferable to any programming language.
• Learning Outcomes:
  • Write small programs that solve a problem in a discipline of your choice that are readable, well-organized, well-documented, and well-tested.
  • Design the data representation for a reasonably complex problem.
  • Describe the information encoded in given data.
  • Identify information in a problem domain and represent that information as data in your program.
  • Use examples and tests to decide and document what your program should do.
  • Identify the correspondences between a data definition and a program and how changes to a data definition could potentially affect a program.
• Assessment: You’re graded on comprehension checks and design self-assessments. Before registering for Intro to Systematic Design in Python Part 2, you need to achieve a minimum of 70% in this course.
• Expected Effort: Plan to spend approximately 10 hours per week completing coursework and assignments.
• Technology Requirements: To take this course, you should have an email account, internet access, and an up-to-date web browser. You’ll also need access to a desktop or laptop computer.
• Course Format: This course is 100% online and instructor-supported. You can join a group chat with your instructors via Zoom during virtual office hours.
• Available Sessions: Starting Jan 13, 2026, to Mar 16, 2026.
• Instructors: Meghan Allen, Mariana Paspuel Paredes.

Related Courses

• Intro to Systematic Program Design in Python Part 2: A continuation of Part 1, furthering your skills in systematic program design using Python.

Financial Assistance

• StrongerBC Future Skills Grant: Available for eligible students to support their learning endeavors.

Registration and Support

• How to Register or Apply: Detailed information on the registration process and application requirements.
• Student Support: Accessing online courses, requesting certificates and transcripts, tuition tax receipts, academic conduct, and appeals, as well as campus resources.