COURSE DESCRIPTION: The purpose of this course is to blend didactic and practical content over a one
semester period in such a way so as to give the students both a foundation and
hands‐on experience of contemporary genomics and epigenomics methodologies.
Each topic in the syllabus will be delivered individually by a member of the Einstein
faculty whose research expertise matches that topic’s content, and each topic will
have both taught and practical components. The students will use their laptops in
class to ‘walk through’ these practical sessions. The final examination will consist of
a set of genomics/epigenomics based ‘research level’ problems which the students
will solve within a set time frame. The goal of this course is to inform and train the
student cohort up to an operational level of capability in the current methods and
techniques used in contemporary genomics research.
REQUIRED MATERIALS: A laptop with wireless capability. Mac, Windows or Linux
STUDENT PREPARATION: Ideally: basic biostatistics, insights into molecular genetics, familiarity with R programming
language. Adhering to these as requirements would make our course inaccessible to most
students, so we are prepared to make these suggestions as opposed to absolute requirements.
SUITABLE FOR 1ST YEAR STUDENTS: No
UNIQUE TRAINING OFFERED IN THIS COURSE: The course is unique in teaching computational analytical approaches for genomic and epigenomic
datasets, with a very strong practical, hands-on emphasis.
STUDENT ASSESSMENTS: A final take home examination will account for the majority of the marks, but attendance and
participation in class will also be recognized with marks (e.g. 2% for each of 16 classes).
CREDIT HOURS: 2.5