Biomathematics (MAE546A): Διαφορά μεταξύ των αναθεωρήσεων

Τελευταία αναθεώρηση της 12:25, 15 Ιουνίου 2023

Ελληνική Έκδοση
Undergraduate Courses Outlines
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Department of Mathematics
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General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Undergraduate
Course Code	ΜΑΕ546A
Semester	5
Course Title	Biomathematics
Independent Teaching Activities	Lectures (Weekly Teaching Hours: 3, Credits: 6)
Course Type	Special Background
Prerequisite Courses	-
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes (in English)
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes	This course is an introduction to the basic concepts of Biomathematics. Upon successful completion of the course, the student will be able to: apply basic concepts of biomathematics understand and apply advanced analytical and approximate techniques to biomathematics problems critically analyze and compare the effectiveness of methods and deepen their further understanding combine advanced techniques to solve new problems in biomathematics
General Competences	The course aims to enable the student to analyze and synthesize basic knowledge of Biomathematics and Applied Mathematics. Search for, analysis and synthesis of data and information, with the use of the necessary technology Adaptation to new situations Autonomous work Decision making Work in an interdisciplinary environment

Syllabus

Short introduction of Algebra, Analysis and Differential Equations
Differential equations of biofluids motion
Applications of mathematical modeling of biofluids in the human body and in the arterial system
Analytical and numerical techniques for solving the differential equations describing biofluids flows
Algbraic statistics for Computational Biology: Algebraic varieties and Groebner bases, Toric ideals and varieties, Linear and toric models
Markov bases, Markov bases for hierarchical models, Contigency tables, Phylogenetic Models.

Teaching and Learning Methods - Evaluation

Delivery

In class

Use of Information and Communications Technology

Provision of study material through the ecourse
Communication with students through e-mails, and the ecourse and MS Teams platforms

Teaching Methods

Activity	Semester Workload
Lectures	39
Study of theory	78
Home exercises	33
Course total	150

Student Performance Evaluation

Weekly assignments
Final project
Written examination at the end of the semester

Attached Bibliography

See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:

Algebraic Statistics for Computational Biology, L. Pachter, B. Sturmfels, 2005, Editor: Cambridge University Press
Cardiovascular Mathematics, Modeling and simulation of the circulatory system, Formaggia L., Quarteroni A., Veneziani A., 2009, Editor: Springer

@@ Γραμμή 1: / Γραμμή 1: @@
-[[Undergraduate Courses Outlines]] - [https://math.uoi.gr  Department of Mathematics]
+* [[Βιομαθηματικά (ΜΑΕ546A)|Ελληνική Έκδοση]]
+{{Course-UnderGraduate-Top-EN}}
+{{Menu-OnAllPages-EN}}
 === General ===
@@ Γραμμή 18: / Γραμμή 20: @@
 ! Course Code
 |
-ΜΑΕ546
+ΜΑΕ546A
 |-
 ! Semester
@@ Γραμμή 48: / Γραμμή 50: @@
 |-
 ! Course Website (URL)
-| -
+| See [https://ecourse.uoi.gr/ eCourse], the Learning Management System maintained by the University of Ioannina.
 |}
 === Learning Outcomes ===
 {| class="wikitable"
@@ Γραμμή 55: / Γραμμή 58: @@
 ! Learning outcomes
 |
-The course is an introduction to the concepts of Biomathematics. The objectives of the course are:
+This course is an introduction to the basic concepts of Biomathematics. Upon successful completion of the course, the student will be able to:
-* Development of the theoretical background in matters relating to biomathematics.
+* apply basic concepts of biomathematics
-* Ability of the student to apply the basic concepts of biomathematics.
+* understand and apply advanced analytical and approximate techniques to biomathematics problems
-* Upon completion of this course the student will be able to solve with analytical and numerical methods simple problems of biomathematics and deepen further understanding of such methods.
+* critically analyze and compare the effectiveness of methods and deepen their further understanding
+* combine advanced techniques to solve new problems in biomathematics
 |-
 ! General Competences
 |
-The course aims to enable the undergraduate students to develop basic knowledge of Biomathematics and in general of Applied Mathematics. The student will be able to cope with problems of Biomathematics giving the opportunity to work in an international multidisciplinary environment.
+The course aims to enable the student to analyze and synthesize basic knowledge of Biomathematics and Applied Mathematics.
+* Search for, analysis and synthesis of data and information, with the use of the necessary technology
+* Adaptation to new situations
+* Autonomous work
+* Decision making
+* Work in an interdisciplinary environment
 |}
 === Syllabus ===
-Short introduction of Algebra, Analysis and Differential Equations, Differential equations of biofluids motion, Applications of mathematical modeling of biofluids in the human body and in the arterial system, Analytical and numerical techniques for solving the differential equations describing biofluids flows,
-Algbraic statistics for Computational Biology: Algebraic varieties and Groebner bases, Toric ideals and varieties, Linear and toric models, Markov bases, Markov bases for hierarchical models, Contigency tables, Phylogenetic Models.
+* Short introduction of Algebra, Analysis and Differential Equations
+* Differential equations of biofluids motion
+* Applications of mathematical modeling of biofluids in the human body and in the arterial system
+* Analytical and numerical techniques for solving the differential equations describing biofluids flows
+* Algbraic statistics for Computational Biology: Algebraic varieties and Groebner bases, Toric ideals and varieties, Linear and toric models
+* Markov bases, Markov bases for hierarchical models, Contigency tables, Phylogenetic Models.
 === Teaching and Learning Methods - Evaluation ===
 {| class="wikitable"
@@ Γραμμή 75: / Γραμμή 91: @@
 |-
 ! Use of Information and Communications Technology
-| -
+|
+* Provision of study material through the ecourse
+* Communication with students through e-mails, and the ecourse and MS Teams platforms
 |-
 ! Teaching Methods
@@ Γραμμή 102: / Γραμμή 120: @@
 * Written examination at the end of the semester
 |}
 === Attached Bibliography ===
-See [https://service.eudoxus.gr/public/departments#20 Eudoxus]. Additionally:
+<!-- In order to edit the bibliography, visit the webpage -->
-* Applied Fluid Mechanics, D. G. Papanikas, 4th Edition, 2010, Editor: F. Papanikas & Co, G. P. (in Greek)
+<!-- https://wiki.math.uoi.gr/index.php/%CE%A0%CF%81%CF%8C%CF%84%CF%85%CF%80%CE%BF:MAE546A-Biblio -->
-* Algebraic Statistics for Computational Biology, L. Pachter, B. Sturmfels, 2005, Editor: Cambridge University Press
-* Cardiovascular Mathematics, Modeling and simulation of the circulatory system, Formaggia L., Quarteroni A., Veneziani A., 2009, Editor: Springer
+See the official [https://service.eudoxus.gr/public/departments#20 Eudoxus site] or the [https://cloud.math.uoi.gr/index.php/s/62t8WPCwEXJK7oL local repository] of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:
+{{MAE546A-Biblio}}