Aim: The main aim of the course is to determine the cellular components and their function, identify the cell reproduction and how its macromolecules participate in vital process, and understand how traits transfer among generations Course contents: Basic concepts of Biology, Cell structure, Cell function, Cell metabolism, Cell cycle(meiosis), Macromolecules: lipids, Macromolecules: lipids: lipids

Aim: The aim of this course is to introduce BMD students to the basics of biology that they will need in all the biomedical informatics courses in the following years. Course contents: Introduction to Biology, Cell Structure, Cell Cycle, DNA Structure and Replication, Central Dogma: Transcription and Translation, Meiosis and Chromosomal Aberrations, Mendelian Genetics and Inheritance

Aim: The aim is to provide students with overall understanding the essential chemical principles modulating the complex biological systems and familiarize the students with concepts of molecular biology Course contents: Introduction to the course, overview of biochemistry and bio-molecules, basics of organic chemistry and chemical structure, Gene cloning and manipulation, Nucleic acid structure

Aim: This course provides a comprehensive study of the anatomy and basic physiology of the human body. Upon completion, students should be able to demonstrate an understanding of principles of anatomy and physiology and their interrelationships. Students should be able to analyze different pathological conditions in terms of physiological processes. Course contents: Introduction to Level of

Aim: This course aims to introduce students to the basic disciplines of bioinformatics and enable them to utilize their previous skills in programming and algorithm design in designing/implementing tools for biological data analysis. Course contents: Linux Operating System, Shell Scripting, Dynamic Programming for Sequence Alignment, Pairwise and Multiple Sequence Alignment, BLAST, Phylogenetic

Aim: The student is introduced to the basic contents necessary to study the computer hardware and a thorough introduction to computer architecture Contents: Digital Systems and Binary Numbers, Boolean Algebra and Logic gates, K-maps, Combinational Logic Circuits Analysis and Design, Synchronous Sequential Logic Circuits Analysis and Design, Registers, Counters. Fundamental Concepts and ISA

Aim and Contents: BMD major junior and senior students are expected to get involved in industrial/ research training for period of eight weeks minimum in the field of Biomedical Informatics in Egypt or abroad. A detailed report followed by discussion is submitted to a departmental committee for evaluation.

Aim: This course aims to introduce students to the advanced disciplines of bioinformatics based on high-throughput Next Generation Sequencing (NGS) Technologies. Moreover, the course familiarizes students with different types of OMICS data and the appropriate tools for its analysis. Contents: File formats for NGS data, algorithms and tools for NGS read alignment on genomic and transcriptomic

Aim: This course introduces the students to research methodology in biomedical sciences. The course covers statistical inference and descriptive statistics and engages the students with hypothesis testing and its applications to group comparisons, linear models, association methods, design of experiences and Sample Size Calculations. The course triggers the student to think critically and

Aim: The aim of the course is to Learn basics of clinical informatics, medical records and to design and implement clinical information systems Contents: Overview of clinical informatics. Medical departments and terminologies. Classification of diseases and biomedical ontologies. Structure and organization of medical data and information. Standards and regulations in biomedical informatics for

Aim: The main aim of the course is to: Learn the fundamentals of biomedical equipment, evaluate physiological measurements and data collected from biomedical instrumentation. Contents: Overview of biomedical equipment and types, Physiological measurements, Applying signal conditioning approaches, Biodata analysis, ECG signal analysis, Electroencephalogram (EEG) and Evoked Potential (EP) signals

Course Aim and Contents: BMD major junior and senior students are expected to get involved in industrial / research training for period of eight weeks minimum in the field of Biomedical Informatics in Egypt or abroad. A detailed report followed by discussion is submitted to a departmental committee for evaluation.

Aim: The aim is to provide students with different aspects of structural bioinformatics ranging from protein modeling and addressing many common computational techniques up to protein homology modeling, ligand-protein molecular docking, and other prediction methods. Different software for protein-ligand docking, de-novo design, and virtual screening will be addressed. Course contents: Introduction

Aim: This is an advanced course tackling hot topics in the field of bioinformatics data analysis and prepares students for the recent developments in the field. The course aims to adopt the advanced concepts of high-throughput technologies and provides the students with hands-on practical experience in handling the data generated by those technologies. Course contents: The contents of this course

Aim: The aim is to provide students with advanced techniques of Molecular Biology and Systems Biology and familiarize students with methodologies for understanding and analyzing biological systems. Course contents: Introduction to Complex Systems and Systems biology, Mathematical representation of Biological Systems, Topologies of Biological Networks, Types of Biological Networks, Mathematical

Aim: The aim of this course is to prepare the student to be qualified to make the presentation and report and participate with the students in discussing and asking questions. Course contents: Orientation Seminar, Introductory Seminar, Research Advising Seminar, how to select and apply methods, biological questions about genomics data map, Examination of computational methodology in bioinformatics