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- Edmonton, Alberta, Canada
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Edmonton, Alberta, Canada
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STAT 372 – Applied Multivariate Analysis and Machine Learning
STAT 372
MacEwan University statistics students will collaborate with your organization to apply advanced analytical techniques such as principal component analysis (PCA), clustering, and discriminant analysis on clean, pre-prepared datasets. Through this experience, students will generate meaningful insights and translate complex statistical findings into actionable recommendations. Ideal for organizations looking to uncover patterns, optimize operations, or make data-informed decisions. Student Skills Already Acquired Matrix algebra Statistical computing in R Data cleaning, wrangling, and visualization To Be Developed Principal Components Analysis (PCA) Factor analysis Discriminant and cluster analysis Canonical correlation analysis Machine learning applications Data storytelling and stakeholder communication Project management and collaboration with external partners

WINL 301 - Summer Intake - Arts & Science Disciplines Placement Program
Students in their 3rd and 4th years can participate in these placements. Students will be from a wide degree of majors in the Bachelor of Arts and Bachelor of Science programs. You can expect students to have a solid foundation of knowledge in their program discipline and be capable of working at a fairly independent level (with mentorship and feedback regularly provided throughout the placement). Roles offered to students should reflect early-career level work for their discipline. Bachelor of Arts Majors include: anthropology, economics, English, history, philosophy, political science, psychology, sociology Bachelor of Science Majors include: applied statistics, biological sciences, chemistry, computer science, mathematical sciences, mathematics, physical sciences, psychology

WINL 301 - Arts & Science Disciplines Placement Program
Students in their 3rd and 4th years can participate in these placements. Students will be from a wide degree of majors in the Bachelor of Arts and Bachelor of Science programs. You can expect students to have a solid foundation of knowledge in their program discipline and be capable of working at a fairly independent level (with mentorship and feedback regularly provided throughout the placement). Roles offered to students should reflect early-career level work for their discipline. Bachelor of Arts Majors include: anthropology, economics, English, history, philosophy, political science, psychology, sociology Bachelor of Science Majors include: applied statistics, biological sciences, chemistry, computer science, mathematical sciences, mathematics, physical sciences, psychology

CMPT 496 - Computer Science Capstone Projects
13393, 13392
Student Profile: Students in this course are in their 4th year of the Bachelor of Science, Computer Science program. These students can be expected to generally have intermediate to advanced understanding in computer science related topics. Skills already have: Creative and analytical thinking Research and information management abilities Ability to apply knowledge of basic project management skills to computer science activities. Work as part of a team to communicate and collaborate effectively with colleagues, team members, employers, and technical and non-technical personnel. Demonstrate professional and ethical responsibility in the information technology field and workplace. Understanding of current technologies and trends Skills to be developed: Consulting and understanding specific needs of a client Developing project plan to complete client projects Building experience in completing prototypes/pitches/small scale end deliverables for real organizational needs and challenges Students will come with a wide range of computer science skills and depending on their degree focus will also have specialized skills in different areas. Students can complete their Computer Science degree in the following 4 streams: General Databases and Interactive Visualization Systems and Information Security Video Gaming