UPEI Moodle

This course will introduce students to the practice of market research. Specifically, students will understand the role and importance of market research in evidence-based decision making, will practice evidence-based market research, and will develop the skills to develop and report on evidence-based market research plans. Three hours a week. 13-01-2026-14-04-2026 Lecture Tuesday, Thursday 08:30AM - 09:45AM, SDU Main Bldg, Room 320

This course presents the basic concepts of marketing. It introduces the marketing function, marketing systems and the marketing concept and then focuses on the development of marketing strategies, target markets, and the marketing mix in a decision-making context. Three hours a week Restriction: Successful completion (a passing grade) of the English Academic Program (EAP) for those students enrolled in the EAP program. 13-01-2026-14-04-2026 Lecture Tuesday, Thursday 08:30AM - 09:45AM, Irving Chemistry Ctr, Room 104

This course focuses on the fundamental principles of chemistry as they relate to the properties and behaviour of materials in application to engineering systems. The relationship between electronic structure, chemical bonding, and atomic order is emphasized. The characterization of atomic arrangements in crystalline and amorphous solids, i.e. that of metals, ceramics, polymers, and composites are introduced. Knowledge of materials phenomena, including chemical equilibrium and kinetics, diffusion, electrochemistry, and phase transformations will be gained through experiential labs and lecture. Examples from industrial practice and emerging technologies will be used to illustrate the materials science concepts in this course. Three hours lecture and three hours lab per week. 12-01-2026-13-04-2026 Lecture Monday, Wednesday, Friday 09:30AM - 10:20AM, Kelley Memorial Bldg, Room 237

This course studies the process of mathematical modeling, namely, formulating a "real-world" problem in mathematical terms, solving the resulting mathematical problem, and interpreting the solution. Major topics include the modelling process, proportionality, geometric similarity, model fitting, graphical models, and deterministic and probabilistic dynamical processes (with models formulated as differential and difference equations). Applications are taken from science, business and other areas, according to class interest. 13-01-2026-14-04-2026 Lecture Tuesday, Thursday 01:00PM - 02:15PM, Cass Science Hall, Room 101.

This course focuses on the fundamentals of human and mechatronic system interaction and a systematic approach to its interface design. Signal generation, transmission, and interface design are the main topics of this course. Integration of the Mechatronics system focuses on the use of embedded electronics to control and monitor mechanical behavior in a mechatronic system. Following a user-centered design and observational philosophy, students will learn to evaluate the execution efficiency of typical voice, command and graphical(GUI)user interfaces to interact with the mechatronic system with the specific aim of monitoring and control. Topics include: transducers, motors and actuators I/O and signaling, signal transmission philosophy and design, conducting user studies, evaluation techniques, information structure, and programming for interactive systems. Labview and Simulink interface software development packages are used. Three hours of lecture and three hours of lab per week. 13-01-2026-14-04-2026 Lecture Tuesday, Thursday 02:30PM - 03:45PM, SDU Main Bldg, Room 420

An introductory course in the sociological inquiry process giving the student a working knowledge of applied techniques in sociological data manipulation and analysis. Topics include measurement of sociological phenomena, association, elaboration of relationships between two or more variables, path and space analysis, and the logic and methods of hypothesis development and testing in sociological research. It is strongly recommended that Sociology 3310 and 3320 not be taken in the same year as Sociology 3010 and 3020. Three hours a week. 13-01-2026-14-04-2026 Lecture Tuesday, Thursday 01:00PM - 02:15PM, SDU Main Bldg, Room 116

This course introduces students to the practice of Evidence Based Medicine. Students will learn the skills to formulate a clinical question, search and critically evaluate the medical literature, and develop an answer to the question. Students will participate in "journal club" style rounds, and be expected to complete a project answering a clinical scenario of their choice. RESTRICTION: Student must be enrolled in the BSc Paramedicine program. Three hours lectures a week. 13-01-2026-14-04-2026 Lecture Tuesday 02:30PM - 05:15PM, Duffy Science Ctr, Room 423

This course introduces students to basic techniques in molecular biology and genomic science. Lectures will cover theoretical aspects of research in the biologic sciences, such as cloning, PCR, DNA sequence analysis, genomics, and proteomics. In laboratories, students will work on projects to learn current methodologies in molecular biology such as keeping laboratory notebooks, basic cloning, PCR, gel electrophoresis, use of sequence databases, and analysis of transcriptomics/proteomics datasets. Two hours lecture, four hours lab per week. 13-01-2026-14-04-2026 Lecture Tuesday, Thursday 08:30AM - 09:45AM, SDU Main Bldg, Room 432

This course provides the student with an opportunity to integrate and consolidate theory, research, and advanced knowledge and skills required of the nurse practitioner in providing primary health care to clients, families, groups and communities experiencing common episodic and chronic health related problems/illnesses. The focus will be on the refinement of critical thinking skills, clinical reasoning, and advanced practice clinical judgment in assessment, diagnosis, and management of clients' health. Collaboration with clients, families, and other health care professionals will be emphasized. Students will develop role competencies under the supervision of a faculty member and a clinical preceptor negotiated by the student and professor. CLINICAL EXPERIENCE: 200 hours across the course HOURS OF CREDIT: 6 (Pass/Fail). 13-01-2026-14-04-2026 Graduate Studies Tuesday 08:30AM - 11:15AM, Health Sciences Bldg, Room 323