Students who enrolled in the DANA program would typically take courses within 4 semesters. Some students would take the fifth semester for gain more experience through a work term. The details of course per semesters are outlined on this page ( https://langara.ca/programs-and-courses/programs/data-analytics/program-curriculum.html ). During their final semester (4th semester), students would take the Capstone Project course. Through the capstone projects, teams consisting of 3-4 students work collaboratively over a period of approximately 4 months to progressively develop solutions ranging from initial concepts to functional prototypes. Their efforts involve applying AI and various machine learning techniques to analyze diverse types of data such as numbers, images, and texts. Students possess programming skills in Python, R and SAS.

This project-based course is the second in our first-year Engineering Design sequence. In this course, students expand their understanding of engineering design and explore systems comprising electrical, mechanical, and software sub-systems. They apply engineering tools, including CAD tools and microcontroller programs, to create and control physical embodiments of their designs. Students work in teams of 4-5 on projects with specific practical goals using Arduino microcontrollers. These projects require teams to document and present their design solutions, illustrating key aspects using projected slides, engineering graphics, and live demonstrations. Additionally, students learn about sustainability and its impact on engineering design, as well as engineering ethical practices. Students in CPSC 1491 have already completed coursework in programming (C++), engineering drawing, and CAD (SolidWorks). The projects in this course utilize microcontrollers as the central component.

Technical Skills System Design and Analysis : Ability to design and analyze information systems tailored to business needs. Networking Knowledge : Understanding of architecture, and security measures. Analytical Skills Systems Thinking : Ability to understand how people and process are connected and work together to produce outcomes. Problem-Solving : Skill in identifying, analyzing, and resolving complex problems in information systems. Project Management Project Planning : Capability to plan, execute, and manage IT projects effectively. Team Collaboration : Experience in working collaboratively in teams to achieve project goals.

This course covers the fundamental concepts and applications of protein characterization techniques ("proteomics") as well as how individual and community-wide metabolism are studied ("metabolomics"). Cutting-edge proteomics and metabolomics methods will be applied to real-world datasets and problems to characterize biological systems and explain phenotypes. This course will help prepare students for future work on using, characterizing, and designing novel protein and metabolism-based tools applicable to research and industrial applications. Students taking this course will gain skills for future work designing experiments, analyzing, and integrating data on the proteomes and metabolomes of various biological systems