Curriculum

Course Code Course Name Credit Theoretical Lab/Practical ECTS
BIO690 SEMINAR 0 0 0
BIO6X1 ELECTIVE 3 3 0
BIO6X2 ELECTIVE 3 3 0
BIO6X3 ELECTIVE 3 3 0
BIO6X4 ELECTIVE 3 3 0
Course Code Course Name Credit Theoretical Lab/Practical ECTS
BIO600 THESIS 0 0 0
BIO650 QUALIFICATION EXAM 0 0 0
BIO6X5 ELECTIVE 3 3 0
BIO6X6 ELECTIVE 3 3 0
BIO6X7 ELECTIVE 3 3 0
Course Code Course Name Credit Theoretical Lab/Practical ECTS
BIO602 TECHNIQUES IN TISSUE CULTURE AND CELLULAR BIOENGINEERING 3 3 0
BIO606 BIOSEPERATIONS 3 3 0
BIO601 TECHNIQUES IN MOLECULAR BIOENGINEERING 3 3 0
ENR301 THERMODYNAMICS 0 0 0
BIO610 GENETIC ENGINEERING 3 3 0
BIO631 FERMENTATION MICROBIOLOGY 3 3 0
BIO622 BIONANOTECHNOLOGY 3 3 0
BIO613 PHYSIOLOGY FOR ENGINEERS 3 3 0
BIO632 SPECIAL TOPICS IN BIOENGINEERING I 3 3 0
BIOE308 BIOPROCESS ENGINEERING 0 0 0
BIOE303 BIOMEDICAL ENGINEERING AND INSTRUMENTATION 0 0 0
BIO612 TISSUE ENGINEERING 3 3 0
ENVE633 SPECIAL TOPICS IN ENVIRONMENTAL ENGINEERING 3 3 0
Various advanced level topics will be covered on environmental engineering, according to the need of students and interest of the instructor.
ENVE528 ADVANCED TECHNIQUES OF ENVIRONMENTAL ENGINEERING ANALYSIS 3 3 0
Aims to understand the working principles of modern analytical instruments, and how they can be used to solve analytical problems encountered in environmental engineering. Includes optical methods, ultra violet, visible, infrared, X ray absorption, emission and flame spectroscopy, selective ion electrodes, mass spectroscopy, gas and liquid chromatography theory and applications, total organic carbon analyzer, electrical separation methods. Laboratory experiments.
BIO626 ECOLOGY 3 3 0
BIO635 BIOTECHNOLOGY 3 3 0
PHY101 GENERAL PHYSICS I 0 0 0
PRCO505 TOXIC AND HALLUCINOGENIC PLANTS 3 3 0
EMN515 COMPUTER AIDED DATA ANALYSIS 3 3 0
ENVE609 ADVANCED ANAEROBIC TREATMENT 3 3 0
ENVE614 ADVANCED TOPICS IN BIOTECHNOLOGY 3 3 0
Advanced level topics in biotechnology. Different topics will be covered according to the need of students and interest of the instructor.
BIO628 CANCER BIOLOGY 3 3 0
ENVE640 LABORATORY APPLICATIONS IN ENVIRONMENTAL AND BIO TECHNOLOGIES 3 3 0
ENVE641 STATISTICAL METHODS IN BIO&ENVIRONMENTAL SCIENCES 3 3 0
The main topics of this course are: numerical summary statistics, graphical summary techniques, probability theory, probability distributions, mathematical expectation, special probability distributions (bernoulli, binom, poisson), probability density functions (gama, exponantial, chi-square), linear regression and correlation, excell and spss applications, sampling distributions, hypothesis testing.
PRCO503 ADVANCED PHARMACOGNOSY I 3 2 2
The plant and animal kingdom as source of drugs, General methods associated with the phytochemical investigation pf herbal products; Extraction of plant Material, separation and isolation of constituents: Sublimation, distillation, Fractional liberation, fractional chrystallization, Adsorbsion chromatography, Partition chromatagraphy, High performance liquid chromatography (HPLC), ThinLayer Chromatography(TLC), Gas-Liquid chromatography, Gel filtration chromatography, Electrochromatography, Basic metabolic pathways and the origin of secondary metabolites; Enzymes, Photosynthesis, Carbohydrate utilization, Glycosides, Fats and Fatty acids,, Aromatic biosynthesis, The shikimic acid pathway, The acetate hypothesis Amino acids biosynthesis, Peptides and proteins, Isoprenoid compounds The mevalonic acid pathway, Secondary metabolites, Stress compounds, Discovering new lead compounds in pharmaceutical research and development. Phytochemical variation within a species.
PRCO504 ADVANCED PHARMACOGNOSY-II 3 2 2
STAT602 STATISTICAL COMPUTER APPLICATIONS FOR SOCIAL SCIENCES 3 3 0
Entering the data collected to the computer, organizing and getting data ready for statistical analyses; normal distribution and sampling distribution of the mean; establishing confidence intervals; writing research questions, research hypotheses, null hypotheses; hypothesis testing. Descriptive statistics: Measures of central tendency and position measurements (arithmetic mean, median, peak, percentile and quartile); measures of variability (distribution width, variance, standard deviation); display of data. Inferential statistics: t-test applications (single-sample t-test, independent samples t-test, dependent samples t-test), analysis of variance applications (one-way ANOVA, two-way ANOVA, MANOVA, ANCOVA); correlations (Pearson and Spearman correlation coefficients), partial correlation; multiple linear regression; exploratory and confirmatory factor analyses; reliability; non-parametric tests (Wilcoxon signed rank test, Mann-Whitney U test, Kruskal-Wallis test, Chi-Square tests); interpreting and writing results of analyses.