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Code BIO 306
Term 201701
Title Microbiology
Faculty Faculty of Engineering and Natural Sciences
Subject Mol.Bio.Genetic&Bioengin.(BIO)
SU Credit 4
ECTS Credit 8.00 / 7.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Devrim Gozuac?k -dgozuacik@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
BIO301 NS102
Mode of Delivery Formal lecture,Interactive lecture,Group tutorial,Laboratory
Planned Learning Activities Interactive,Communicative,Project based learning,Task based learning
Content

This course will serve as an introduction to the new understanding of microbial activities and bacterial diversity; the major groups of microorganisms structure, cultivation and pathogenecity of bacteria and viruses; genetic and metabolic capabilities of microorganisms in their natural habitats and microbial ecology. Laboratory experiments will deal with isolation, cultivation and enrichment of diverse microorganisms.

Objective

Objective of the course is to give a notion in basic microbiological systems and techniques

Learning Outcome

Have general idea about microbial taxonomy, bacterial diversity and evolution.
Clearly differentiate between prokaryotic cells and eukaryotic cells.
Define stages of microbial growth.
Define characteristics of viruses,differentiate between prokarytic and eukaryotic viruses.
Define general characteristics of archea domain.
Identify the phylogenetic relations between prokaryotes.
Have clear knowledge about different phylum of bacteria in the phylogenetic classification
Have a general idea about protists and fungi characteristics.

Programme Outcomes
 
Common Outcomes For All Programs
1 Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 3
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3
3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 5
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5
5 Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 5
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 2
3 Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 2
4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 5
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 5
7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 5
Molecular Biology, Genetics and Bioengineering Program Outcomes Core Electives
1 Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 5
2 Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 5
Materials Science and Nano Engineering Program Outcomes Area Electives
1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1
2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1
Mechatronics Engineering Program Outcomes Area Electives
1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 1
2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 1
Electronics Engineering Program Outcomes Area Electives
1 Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 1
2 Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 1
Assessment Methods and Criteria
  Percentage (%)
Midterm 60
Exam 10
Term-Paper 5
Participation 10
Other 15
Recommended or Required Reading
Textbook

Microbiology (Prescott's)

Optional Readings

Research articles
Review papers
Science books