סילבוס Syllabus Силабус خطة الدورة

Course Goals and Description 
The course will introduce algorithmic, statistical, and machine learning techniques for understanding the human genome, epigenome, evolution, and disease mechanisms. Every week we will introduce a topic from the field of bioinformatics. We will present its biology background and motivation, and discuss computational concepts and approaches for advancing our understanding of the relevant biology. The biological applications we will introduce include: genetic sequence analysis, gene expression analysis, genomic and epigenomic regulation, genetic variation, genome wide associations, disease mapping, population genetics and evolution, cancer genomics and single-cell genomics. We will also learn to use basic tools and major databases in the bioinformatics field. The course includes a weekly lecture and tutorial, 4 HW assignments, mid-term exam, and a final project.