ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Management Information Systems (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code: | UNI320 | ||||
| Course Name: | Health & Microbiome | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | University Elective | ||||
| Course Level: |
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| Mode of Delivery: | E-Learning | ||||
| Course Coordinator: | Dr. Öğr. Üy. DENİZ SERTEL ŞELALE | ||||
| Course Lecturer(s): | İbrahim Çağatay Acuner, Pınar Yurdakul Mesutoğlu, Deniz Sertel Şelale, Ayhan Mehmetoğlu | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | The aim of this course is to convey information on; - fundamentals of human microbiota & microbiome - formation and development of microbiota - factors that affect the composition of microbiota - effects of microbiota on human health - association of microbiota with diseases - pharmaceutical modulation of microbiota |
| Course Content: | This course includes theoretical lectures regarding human microbiota and it’s effects on human health and association with diseases. |
Learning Outcomes
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The students who have succeeded in this course;
1) Should be able to define microbiota, microbiome and metagenome concepts. 2) Should be able to describe human microbiota and explain how its formed. 3) Should be able to explain the factors that affect the composition of microbiota. 4) Should be able to define the effects of microbiota on human health. 5) Should be able to explain the association of microbiota with diseases. 6) Should be able to discuss the use of pharmaceutical preparations that modulate microbiota in promotion of health. |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Introduction to microbiota, microbiome and metagenome concepts | Review of the course materials |
| 2) | Transmission and development of microbiota | Review of the course materials |
| 3) | Nutritional modulation of the gut microbiome | Review of the course materials |
| 4) | Microbiota perturbations: Dysbiosis and Disease | Review of the course materials |
| 5) | Microbiota & Obesity; Type-2 Diabetes and Cancer | Review of the course materials |
| 6) | Gut microbiome and host immunity | Review of the course materials |
| 7) | Microbiota & Gut-Brain / Gut-Lung Axis | Review of the course materials |
| 8) | Mid term exam | Review of the course materials |
| 9) | Consumption of antibiotics and microbiota | Review of the course materials |
| 10) | Fecal transplantation | Review of the course materials |
| 11) | Nutritional modulation of the gut microbiome for metabolic health and healthy longevity | Review of the course materials |
| 12) | Prebiotics, probiotics and next generation pharmaceutical modulation of the gut microbiome | Review of the course materials |
| 13) | One health approach, and microbiota | Review of the course materials |
| 14) | Multi omics approach and future trends | Review of the course materials |
| 15) | Final Exam | Review of the course materials |
Sources
| Course Notes / Textbooks: | Tungland B. Human Microbiota in Health and Disease. Academic Press;2018. ISBN 9780128146491 |
| References: | • Cryan JF, Dinan TG. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. Nat Rev Neurosci. 2012 Oct;13(10):701-12. doi: 10.1038/nrn3346. Epub 2012 Sep 12. PMID: 22968153. • Sonnenburg JL, Bäckhed F. Diet-microbiota interactions as moderators of human metabolism. Nature. 2016 Jul 7;535(7610):56-64. doi: 10.1038/nature18846. PMID: 27383980; PMCID: PMC5991619. • Carabotti M, Scirocco A, Maselli MA, Severi C. The gut-brain axis: interactions between enteric microbiota, central and enteric nervous systems. Ann Gastroenterol. 2015 Apr-Jun;28(2):203-209. PMID: 25830558; PMCID: PMC4367209. • Kim S, Covington A, Pamer EG. The intestinal microbiota: Antibiotics, colonization resistance, and enteric pathogens. Immunol Rev. 2017 Sep;279(1):90-105. doi: 10.1111/imr.12563. PMID: 28856737; PMCID: PMC6026851. • Sonnenburg JL, Sonnenburg ED. Vulnerability of the industrialized microbiota. Science. 2019 Oct 25;366(6464):eaaw9255. doi: 10.1126/science.aaw9255. PMID: 31649168. • Mikroorganizmalar ve insan vücudu ile olan etkileşimleri Microorganisms and their interaction with human body. Rıdvan Çetin et al. DOI: 10.5455/pmb.1-1422383762 • Tang ZZ, Chen G, Hong Q, Huang S, Smith HM, Shah RD, Scholz M, Ferguson JF. Multi-Omic Analysis of the Microbiome and Metabolome in Healthy Subjects Reveals Microbiome-Dependent Relationships Between Diet and Metabolites. Front Genet. 2019 May 17;10:454. doi: 10.3389/fgene.2019.00454. PMID: 31164901; PMCID: PMC6534069. • İntestinal mikrobiyota ve obezite ilişkisi, The relationship between intestinal microbiota and obesity. Tuba tekin et al. Derleme 2018; 27: 95-99. • Ichim TE, Patel AN, Shafer KA. Experimental support for the effects of a probiotic/digestive enzyme supplement on serum cholesterol concentrations and the intestinal microbiome. J Transl Med. 2016 Jun 22;14(1):184. doi: 10.1186/s12967-016-0945-2. PMID: 27333764; PMCID: PMC4918082. • Kuugbee ED, Shang X, Gamallat Y, Bamba D, Awadasseid A, Suliman MA, Zang S, Ma Y, Chiwala G, Xin Y, Shang D. Structural Change in Microbiota by a Probiotic Cocktail Enhances the Gut Barrier and Reduces Cancer via TLR2 Signaling in a Rat Model of Colon Cancer. Dig Dis Sci. 2016 Oct;61(10):2908-2920. doi: 10.1007/s10620-016-4238-7. Epub 2016 Jul 6. PMID: 27384052. • Salvucci E. The human-microbiome superorganism and its modulation to restore health. Int J Food Sci Nutr. 2019 Nov;70(7):781-795. doi: 10.1080/09637486.2019.1580682. Epub 2019 Mar 7. PMID: 30843443. |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
6 |
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| Program Outcomes | |||||||||||||
| 1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | |||||||||||||
| 2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | |||||||||||||
| 3) Uses different information technologies and systems for understanding and solving various business problems. | |||||||||||||
| 4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | |||||||||||||
| 5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | |||||||||||||
| 6) Gains technical and managerial contributions to IT projects and takes responsibility. | |||||||||||||
| 7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | |||||||||||||
| 8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |||||||||||||
| 9) Develops teamwork, negotiation, leadership and entrepreneurship skills. | |||||||||||||
| 10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | |||||||||||||
| 11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | |||||||||||||
| 12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | |||||||||||||
| 13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | |||||||||||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | 3 |
| 2) | Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | 3 |
| 3) | Uses different information technologies and systems for understanding and solving various business problems. | 2 |
| 4) | Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 3 |
| 5) | Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 3 |
| 6) | Gains technical and managerial contributions to IT projects and takes responsibility. | 2 |
| 7) | Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 3 |
| 8) | Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | 3 |
| 9) | Develops teamwork, negotiation, leadership and entrepreneurship skills. | 3 |
| 10) | Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 3 |
| 11) | Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 2 |
| 12) | Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | 3 |
| 13) | It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | 3 |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 1 | % 20 |
| Midterms | 1 | % 20 |
| Final | 1 | % 60 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 14 | 0 | 3 | 42 | |||
| Homework Assignments | 1 | 20 | 1 | 21 | |||
| Midterms | 1 | 30 | 1 | 31 | |||
| Final | 1 | 30 | 1 | 31 | |||
| Total Workload | 125 | ||||||