LABMP

Reviews for course code LABMP (Laboratory Medicine and Pathology)

LABMP 400: Introduction to Human Disease (2018)

Difficulty: 3/5

Course Work: Midterm (40%) Final Exam (60%)

Instructor: Andrea Macyk-Davey (With many guest lecturers)

Review: LABMP 400 offers a relatively broad overview of human disease from the perspective of the clinical laboratory. A large portion of the course borrows from courses such as Biology 107/207, and Physiology 212/214, which allows much of the biology related content to be mostly review. Diseases covered range from autoimmune to congenital to neoplastic. Most of the new material in this course is various lab techniques, and the specific characteristics of disorders. The laboratory techniques are definitely interesting to learn about, however, the repetition of previous physiology knowledge rather than pathology becomes a little tiresome. This course also involves a tour of the central lab at the hospital and the pathology museum in ECHA.

LABMP 590 – Technology and the Future of Medicine (2016)

Difficulty: 2.5/5

Course Work: Presentation/Project (30%), Term Paper (40%),  Midterm (20%), Participation (10%)

Instructor: Kim Solez (main instructor), many guest instructors

Review: LABMP 590 is a unique course that really examines the relationships between the development of technology and society. It is not a course on Lab Medicine and Pathology and is certainly accessible to undergraduate students! Students from all backgrounds/programs are allowed to enroll after a short interview with the course coordinator in the prior term, which is informal and aimed to gauge your prior knowledge and interest on the topics of the course. Often, it has elements of an Arts course in its content matter. The course is structured as a series of lectures and seminars, each of which introduces a new concept on artificial intelligence, technological development, or biological technology.

Regular upkeep with the course material is not necessary to excel in the course, unless guest instructors ask students to review materials or videos for a discussion component after the lesson. Other than faculty members, previous students who have taken the course also teach a few lectures. Dr. Solez, however, is the one that ends up making all the questions for the midterm exam from the given presentations. The course structure is often eccentric since presentations may often seem like evening guest lectures rather than concrete course lectures, so a keen interest in the topics is very beneficial. Neuroscience students taking the course may not be familiar with concepts relating to computing science or artificial intelligence, which is why glancing through the supplementary material introduced by Dr. Solez at the start of the course may be of use.

The project itself can be entirely self-directed by the student, and can address any of the course’s core topics. Each student has the opportunity to work with one of the lecturers on the project. The term paper will cover the research, arguments or mechanisms detailed in the project.