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Courses

Industrial Microbiology

The relation between structure and function in the microbial cell and its constituents, Introduction to Fermenter, Industrial sterilization, Scale-up fermentations, Types of fermenters, Industrial production of penicillin, Industrial production of enzymes, introduction; general aspects, production of amylases & proteases, production of single-cell proteins, production of yeast/ mushrooms
MICR 404

Introduction to Biosafety & Risk assessments of GMOs.

guidelines and regulation of biosafety –Biosafety levels 1, 2, 3 and 4 - the techniques used in biotechnology to perform microbiological risk assessment- Industrial Biosafety and Effluent Handling –Bioterrorism -Give some information about the safety of Genetically Modified Organisms (GMOs) -Know about introducing the concept of copy genes patenting-Study the biosafety policies and procedures
MICR 405

Introduction to probability & Statistics

This course is an introduction and overview of probability and statistics where the students will discuss the organization and presentation of statistical data–Measures of central tendency (Mean, Median, Mode, ...) of raw data and grouped data–Measures of dispersion (Range, Variance and standard deviation, Interquartile Range) of raw data and grouped data–Definition of the probability-Conditional
MATH 103

Mathematical Analysis

This course focuses on linear algebra, fundamentals, and some related applications. The course starts with the basics of matrices and determinants, solutions of any linear system of equations by different techniques. The concept of eigenvalues and eigenvectors will be discussed in detail with several examples. Various applications related to linear matrix form and the physical interpretation of
MATH 205B

Fundamental of Databases

The aim of the course is to acquaint the student with the fundamentals of databases. The greater part of the course is devoted to the relational database model which is a dominant database model in the field of software. During the classes in the laboratory, students get the practical knowledge and gain the skills which enable them to design and create correct schemas of relational databases
CBIO 204

Algorithmic bioinformatics & sequencing analysis

The course explains some of the key algorithms used in the analysis of biological data. The course covers different algorithms used in preprocessing of raw sequencing data, alignment, mapping of short DNA and RNA-Seq reads, querying biological databases, phylogenetic tree construction and other algorithms for RNA secondary structure prediction and protein molecular docking. This course aims to
CBIO 314

Introduction to nanotechnology

Basic concepts of nanotechnology -History of nanotechnology -Natural nanomaterials Classification of synthetic nanomaterials -Synthesis of metallic nanoparticles by physical, chemical and biological methods - Synthesis of polymeric nanoparticles -Microscopic techniques for characterization techniques of nanomaterials-Non-microscopic techniques for characterization techniques of nanomaterials
APBI 102

Biosecurity & Research Bioethics

A course highlighting aspects of the demonstrative of the ability to apply decisions in ethics-acquire the skills of literature surveying -analyzing information, interpreting, suggesting solutions-Introduce and expanding understanding of essential concepts in applying ethics in new sciences -Fully understand biohazard accompanying wrong use of biotechnological science.
APBI 304

Management, Marketing and IPR in Biotechnology

Enable to gain an understanding of the major decisions faced by managers in their efforts to balance the organization’s objective against the needs and opportunities in the global marketplace. Relate theory to practice using an individual or group project throughout the course where students perform a market analysis of a particular Biotechnology product and promotion. Give an understanding of the
APBI 410

Computation nanotechnology & High-Performance computing

This course provides students with a possibility to simulate models of different nanostructures, nanostructure materials and processes at the nano-level. Fast, efficient and intelligent algorithms applicable for solving problems ranging from quantum to microphysics are readily available for usage by scientists and SME representatives. The computations of large-scale systems provide realistic
APBI 412

Practical Bioinformatics

This is a practical course in the seventh semester, where students should be able to apply all of what they have learned in previous semesters to reproduce the results of one of the state-of-art journal publications. By being engaged in complete research, students should be ready to start their graduation project after completing this practical course smoothly.
CBIO 415

Bioinformatics Training

The aim of the course is to obtain practical skills through visits to factories or research laboratories in different faculties or research centres, this will facilitate and start relationships between students and stakeholders, honours and work managers who will stand on students’ capabilities and skills which will, in turn, enable the graduates of being employed in the future.
CBIO 416

Bioinformatics Graduation Project

Students spend the last semester conducting experiments and writing their thesis. Topics are related to either software development/modification or analyzing biological data with the aim of finding biological interesting insights.
CBIO 417

Introductory Biology “for Math major students“

Introduction to Biological systems of plants and animals –Living organisms: Nutrition, Transport, Respiration, Excretion, Sensory Systems, Skeletal systems, Signaling system, Reproduction, Immune functions –Introduction to genetics –Gene Expression.
BIO 101

English-1

ENGL002

English-2

ENGL-003