COMPUTER SCIENCE
The course aims to provide students with the tools of the scientific method, understanding and operational capabilities of the principles of classical physics.At the end of the course the student will have knowledge of basic biochemistry for a complete understanding of biochemistry, general aspects and metabolic disorders. Then he will know and understand the metabolic processes of the human body and the basic principles of metabolic and hormonal relationship , with extensive references related to pathological situations. The student will also have general information regarding the biochemistry of muscle contraction.After successful completion of this Course, students must possess the basic concepts of the organization of a biological system. Furthermore he/she must possess knowledge of the mechanisms of evolution and natural selection, of the cellular theory and of the flow of biological information. The knowledge acquired during this course will allow the students to face the biological problems that he/she will meet during the following years of study.- Ability to perform spatial, temporal, and frequency measures;
- Ability to make tables and plots;
- Ability to perform a simple statistical analysis.
The experimental method. Measurement units and dimensions of physical quantities. Kinematics. Mechanics. Newton's laws, momentum, angular momentum, energy and work. Conservative and non-conservative forces. Conservation laws. Oscillations and waves. Fluid and gas: pressure, Stevin's law, Archimede's Force, Bernoulli's law. Ideal gas, kinetic theory of gases. Thermodynamics: thermal equilibrium, heat and energy, heat capacity, I and II law of thermodynamics, entropy. Basic Optics. Basic electromagnetic phenomena.The water
electrolytes,
Buffers, buffer systems of the blood
water homeostasis
The amino acids and the peptide bond
The proteins and their various functions
Hemoglobin and oxygen transport
the enzymes
Bioenergetics and oxidative phosphorylation
Structure and metabolism of carbohydrates
Structure and lipid metabolism
Communication between cells and signal transduction
Metabolic effects of insulin and glucagon
Cycle Nutrition / fasting
Diabetes mellitus and obesity 1. The Kingdoms of Life. Introduction to the classification of living organisms.
2. Biological macromolecules: lipids, proteins and nucleic acids.
3. The cellular theory: Structure and function of procaryotic and eukaryotic cells. Structural and functional differences. Viruses.
4. The flow of biological information: Concept of gene. DNA replication; transcription and productionf of RNAs; translation and post-translational modification of proteins; Introduction to the mechanisms of regulation of gene expression.
5. Cell cycle, mitosis, meiosis.
6. The evolution of living organisms: introduction to the darwinian concept of evolution and natural selection. 1. DATA MANAGEMENT
Experimental and observational studies. Study design. Variables. Frequency distribution. Tables and graphs.
2. DESCRIPTIVE STATISTICS
Central tendency and variability indicators.
3. SAMPLING AND INFERENCE
Populations and samples. Sampling procedures. Hypothesis tests.
Serway & Jewett, Physics for Scientists & Engineers, Cengage Learning
Halliday, Resnick, and Krane. Physics.. New York, NY: John Wiley & Sons
John Pelley :PERCOSI INTEGRATI DI BIOCHIMICA, Elsevier
Taddei: Chimica, Biochimica e Biologia applicata Zanichelli
• Miozzo : LE BASI BIOLOGICHE DELLA VITA, Elsevier
• Samaja-Paroni: CHIMICA E BIOCHIMICA, Piccin
• Materiale didattico fornito daElementi di Biologia e Genetica. Bonaldo et al., 2013 edises
Elementi di biologia, Solomon. Edises
Biologia e genetica, Campbell. Pearson editore.
The slides and other materials used for lectures will be made available to the students on the online moodle platform.l -Daniel W. Biostatistica: concetti di base per l’analisi statistica delle scienze dell’area medico-sanitaria. EdiSES.
-Pagano M., Gauvreau K. .Biostatistica . Ed. Gnocchi.
-Lantieri P.B., Risso D., Ravera G. Elementi di Statistica Medica. The McGraw-Hill Companies, S.r.l.
-Jekel J.F., Katz D.L., Elmore J.G, Wild D.M.G. Epidemiologia, Biostatistica e Medicina Preventiva. Elsevier-Masson .docente