2013秋季学期教学大纲

  • 发布于 2013-11-19
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Advanced Life Science

Part 1: Lipid Droplet Biology

Teacher: Liu Pingsheng

1.                  Introduction

History

Distributions

Difference with lipoproteins and other cellular organelles

Recent progress

Uncertainty and problems

Future studies

2.                  Structural Proteins and Protein Composition

Structural Proteins:

PLINs

Oleosins

MPL, MLDP, MLDS, YLDPs, CLDPs

Protein Composition:

Lipid synthetic and catalytic

Membrane trafficking

Signaling

Protein degradation

3.                  Formation and Functions

Formation:

Biogenesis

Growth and degradation

Fusion and fission

Functions:

Storage

Trafficking (movement and interaction with other cellular organelles)

Lipid synthesis

Signaling

Protein degradation

4.                  Lipid Droplets in Mammals and Other Organisms

Mammals:

Adipose tissue

Mammary gland

Liver

Macrophages

Lymphocytes

Muscle

Other mammalian cells

Plants:

Plant seeds

Chloroplasts

Genetic Model Organisms:

Drosophila

C. elegans

Microorganisms:

Yeast

Green algae

Bacteria

 

Advanced Life Science

Part 2:

 Plant Genomics and Molecular Breeding

 

Teacher: 景海春 Jing Haichun

1.      Agriculture, crop domestication and human civilisation

2.      Classical breeding

3.      Omics technologies and genome selection

4.      Phenomics

5.      Germplasm collection and evaluation

6.      Mutational breeding

7.      Molecular markers

8.      Gene Transformation

9.      TILLING

10.  VIGS

11.  Future of crop breeding

 

Advanced Life Science

 

Part 3:

 Immunology

 

Teacher:  高斌 Gaobin

 

 

Immunology 2013 is designed as an introduction course of immunology for biology postgraduates. The class will give students a general view of immunology and some detailed development in certain selected area of immunology. This course covers the components of the immune system, Innate immunity, the cell biology of antigen processing and presentation, antibody and B cells, T cell response, the molecular structure and assembly of MHC molecules, and the pathogenesis of immunologically mediated diseases and immune system as dense system against infectious disease and tumor, and immunology as tool for general biology including antibody technology and flow cytometry. The course is structured as a series of lectures and mini-seminars in which individual research cases are discussed with faculty tutors. It will cover following topics:

 

A)    The components of Immunology

1.      Introduction of Immunology

Mini Seminar Series a: History of Immunolgy

2.      Innate immunity and Macrophage and NK

Mini Seminar Series b: Modification of NK cell as tumour killers

3.      Antigen processing and DC

Mini Seminar Series c: Calreticulin- A board member of a plc

4.      Antibody and B cells

Mini Seminar Series d: Combody- one domain antibody multimer with improved avidity,

5.      MHC and T cells

Mini Seminar Series e: Strategies for retargeting T cells for tumour therapy

6.      Allergy and Mast cells

Mini Seminar f: Mast cells as a nosy friend

 

B)    Immunology and diseases

1.      Immunology and infectious diseases

2.      Cancer

3.      Immunology related diseases

 

C)     Immunology as research tool for biology

1.      Antibody as a tool for Qualitative and quantitative analysis of protein

2.      Flow cytometry for cell characterization and isolation

 

Human Physiology: from cell functions to life

生命科学必修课:

Preparatory Course: biology, anatomy/histology and physics

Object: graduate students

Purpose and Requirement: This course is designed for graduate students to have a comprehensive view in human physiology with special focuses on cell functions, cells-supported activities in life and their mechanistic processes. In addition to the knowledge of cellular principles and integrative functions in human life, the course will introduce how to use variable technologies testing hypothesis and establishing theories in physiology. These should help students to raise the abilities of logical thinking and fantastic experimental design in their future studies. The contents in this course are suitable for the students who will conduct the research in life science, such as neuroscience, molecular/cellular biology, biophysics, biochemistry, genetics and zoology. The students who are going to take this course are expected to have basic knowledge in cell biology, histology and anatomy.

Abstract: Four hours per lecture

第一章   Neurophysiology: physiological functions and their mechanisms in the central nervous system.

Lecture one: neural physiology, brain functions and brain disorders.

Lecture two: technologies used in neurophysiology

Lecture three: the physiology of neurons and synapses.

Lecture four: neural encodings in brain networks

Lecture five: sensation, motion and cognition physiology

Lecture six: homeostasis in brain functions

第二章   Physiology in muscle cells

Lecture seven: cardiac muscle cells and heart functions

Lecture eight: smooth muscles and their functions in the systems of circulation and respiration.

Lecture nine: smooth muscles and their functions in the systems of digestion and others.

Lecture ten: skeletal muscle cells and motion control

第三章   Physiology in endothelium and epithelium cells

Lecture eleven: endothelium cells and their functions in the systems of circulation, respiration, urine and digestion.

Lecture twelve: endothelium cells and their functions in the systems of endocrine and reproduction.

第四章Integrative physiology

                 Lecture thirteen: the interactions among endothelium, muscle and nerve cells.

Lecture fourteen: the brain coordinates activities in different systems

第五章 Final examination

 

Text booksHuman Physiology edited by Rodney et al. 2003 the fourth edition; Fundamental Neuroscience edited by Square et al. 2008 the second edition; Cellular and Molecular Neurophysiology edited by Hammond 2008 the third edition.

Teaching ModeLecture with slide presentation plus discussion

EvaluationWritten examination

Teacher Wang, Jin-Hui (王晋辉)

 

      Advanced Quantum Mechanics
Instructor: Ling-Fong Li
Textbook: J. J. Sakurai and J. Napolitano, \Modern Quantum Mechanisc", 2nd edition (Addison-Wesley), (2010)
Outline of topics
1. Fundamental Concepts
(a) Stern-Gerlach Experiments
(b) Physical States, Observables and Measurement
(c) Wave Functions in Position and Momentum Space
Supplement-Linear Algebra
2. Quantum Dynamics
(a) Time Evolution and Schrodinger Equation
(b) Schrodinger Picture and Heidenberg Picture
(c) Simple Harmonic Oscillator
(d) Schrodinger's wave equation
3. Theory of Angular Momentum
(a) Rotation and Angular Momentum Commutation Relation
(b) 1
Spin
       2
and Finite Rotation
(c) Density Operator and Pure verse Mixed Ensembles
(d) Eigenvalue and Eigenvectors of Angular momentum
(e) Orbital Angular momentum
(f) Addition of Angular momenta

 

Overview of Recent Development in Physics

 

The goal of this course is to give students a simple overview of the most recent development in physics. The emphasis is on the conceptual understanding rather than the technical details. It will cover the following 3 main areas of physics: high energy physics, condensed matter physics and astrophysics as described below;

 

A)     High Energy Physics -------- September 26 to Oct 17

Topics include:

1.       Standard Model of Electroweak and Strong Interaction

2.       Neutrino Oscillations

3.       Beyond Standard Model physics—Grand Unification, String Theory, …..

 

Instructor --- Professor Ling-Fong Li, UCAS,   lfli@cmu.edu.

B)     Condensed Matter Physics -------- October 24 to November 21

Topics include:

1.       Cold Atom

2.       Nano Material

3.       High Tc Superconductor

Instructor --- Professor Shao-Jing Qin, Institute of Theoretical Physics, qsj@itp.ac.cn

C)     Astrophysics -------- November 28 to December 26

Topics include:

1.       Dark Matter

2.       Dark Energy

3.       Inflationary Cosmology

4.       Galaxy Formation

Instructor ---Professor Li-Jun Gou, National Astronomical Observatories,  lgou@nao.cas.cn   

 

 

The grade for this course will be determined by the reports submitted by each student at the end of each of these periods, i. e., one report for high energy, one for astrophysics and one for condensed matter physics. These reports can either be a summary of all the topics in each area, or a report on some topics related to the course approved by the instructor. The length of the paper should be of order of 3 pages.

 

Course Title: Earth System Science

Part 3:Introduction to Geodynamics

 

2013 Fall Semester

 

 

Instructor:

Shimin Wang,

Professor of Geophysics, University of Chinese Academy of Sciences

E-mail: smwang@ucas.ac.cn

 

Course Description:

This course will introduce the field of geodynamics, the study of dynamical processes of the solid Earth. As such, it is rooted in fundamental physics and highly interdisciplinary. Mathematics is the central tool used to apply physical theories and create predictive models of the Earth. Geodynamics provides the quantitative foundation for the theory of Plate Tectonics, the basic organizing paradigm for our understanding of the solid Earth.

 

Text: 

D. L. Turcotte and J. Schubert, Geodynamics, Second Edition, Cambridge University Press, 2002.

 

Preliminary Course Outline:

 

Week 1: Plate tectonics; Stress and strain in solids;

 

Week 2: Elasticity and flexure;

 

Week 3: Heat transfer;

 

Week 4: Fluid mechanics;

 

Week 5: Rock rheology; Faulting.

 

 

Course Syllabus

Course Title: Earth System Science

Class Instructor: Dr. Zhaodong Feng (call me: Jordan)

Phone: 189-0992-3334

Email: fengzd@lzu.edu.cn or fengzd@ms.xjb.ac.cn

 

Major Reference: Earth’s Climate: Past and Future (2nd). By William F. Ruddiman (2008), W.H. Freeman Publication, New York

Minor Reference: Global Climate System (patterns, processes, and teleconnections). By Howard A. Bridgman and John E. Oliver (2006), Cambridge University Press, New York.

 

Course Goals:

Earth systems science views Earth as a physical system of interrelated phenomena, governed by complex processes involving the geosphere, atmosphere, hydrosphere and. biosphere. The Earth system science approach emphasizes relevant interactions of chemical, physical, biological and dynamical processes that extend over spatial scales from microns to the size of planetary orbits, and over time scales of milliseconds to billions of years. The Earth systems approach has become widely accepted as a framework posing disciplinary and interdisciplinary questions in relationship to humankind.

 

The aim of this class is to guide the students through a comprehensive understanding of the earth systems by adopting systematic and holistic approaches to the earth’s climate. First, interactions among the four major spheres are digested from climatologic point of view. Second, the interactions among sub-systems of the earth’s climate are tackled from energy-balance perspective. Third, the different time-scales and different spatial scales are thoroughly dealt with from geological perspectives. Finally, human forcing factors and the consequences are thoroughly investigated and future scenarios are discussed based on modeling results. The students upon completing this class are expected to be capable to conduct a sound scientific research on climate change or able to make a scientifically sound decision on environment management related issues.

 

Course Objectives:

This course is designed to provide a systematic knowledge regarding global environmental change so that the knowledge can serve as a foundation for further scientific research or as a decision-making reference for practical applications. The course will first focus on the present interactions among the four spheres by bringing the newest findings of the Earth’s System research into the class. The course then explores the long-term patterns of the Earth’s System change by presenting the newest data from deep-sea cores, ice cores, and terrestrial sequences. After understanding the current spatial patterns and the long-term temporal patterns, future changes will be discussed based on modeling predictions. Finally, the socio-economic perspectives of the global environmental changes will also be presented to the students.

 

Attendance Policy:

(1) If you miss 20% of lectures (calculated as the ratio of your missed hours over the total hours of this class), you will automatically get F; (2) 6 points will be deducted for each one of recorded absences from the total of 100 points after your 1-excused absence; (3) medical-resulted and extracurricular-caused absences are also counted as absences.

 

Examinations:

1st Exam (20 points): on Meteorology and Modern Climate Systems

2nd Exam (25 points): on Climatic Evolution and Long-term Mechanisms

3rd Exam (25 points): on Human Impacts and Future Climates

4th Exam (30 points): Presentation (15 points) and Final Paper (25 points) on current “hotspot” issues.

 

Grading Scales:

100-90 = A

89-85 = B+

84-80 = B

79-75 = C+

74-70 = C

69-60 = D

<60 = F

 

Course Contents:

Week 1: Global Temperature and Global Precipitation (reading: chapters 1-2 of minor text)

Week 2: Air Circulation and Ocean Circulation  (reading: chapters 3-4 of major text) (1st Exam)

Week 3: Long-term Climate Change and Astronomic Forcing (reading: chapters 7 & 8 of major text)

Week 4: Last Glacial Climate Changes (reading: chapters 14-16 of major text) (2nd Exam)

Week 5: Short-term Carbon Cycle and Greenhouse Effects (reading: chapter 18 of major text)

Week 6: Feedback Mechanisms and Climate Modeling (reading: chapter 9 of minor text) and Evidence and Consequences of Global Warming (reading: chapter 19 of major text) (3rd Exam)

Week 7: Social Responses to Climate Change (reading materials will be supplied)

Week 8: Students’ Presentations (i.e., 4th Exam)

 

_________________________________________________________________________

Topics of presentations and final papers include (not limited to):

(1) Past climate changes,

(2) Current climate crisis,

(3) Biological responses to climate changes,

(4) Human forcing factors and responses,

(5) Climate changes and energy politics,

(6) Climate changes and water resources,

(7) Climate Change and Socioeconomic.

 

__________________________________________________________________________

Requirements for Final Paper:

(1) Single-spaced, time font, 12 size8-10 page writing including up to 3 figures,

(2) Following the format of Earth and Planetary Change (an example will be provided),

(3) References adequately cited and formatted according to the format of Earth and Planetary Change,

(4) 8-10 papers properly (cited) in the paper (properly cited means: the paper is cited for a justifiable reason).

 

_______________________________________________________________

Specific Point Allocation for PPT Presentation (15 points of the allocated 30 points):

(1)      Clarity of Verbal Communication and quality of PPT slides: 4 point

(2)      Introduction (Rationale or Logic or WHY): 3 points

(3)      Data Presentation (how did you get the data and what you got): 3 points

(4)      Data Analysis or data review or data critics: 3 point

(5)      Conclusions (are they clearly stated? Do data support your conclusions?): 2 point

 

_______________________________________________________________

Specific Point Allocation for Final Paper (15 points of the allocated 30 points):

(1)   Introduction (Rationale or Logic or WHY): 5 points

(2)   Data Presentation (how did you get the data and what you got): 4 points

(3)   Data Analysis or data review or data critics: 3 points

(4)   Conclusions (are they clearly stated? Do data support your conclusions?): 3 points

 

Course Syllabus: Earth’s Climate Change

 

Instructors:

Dr. Juzhi Hou, email: houjz@itpcas.ac.cn

Dr. Daniel R. Joswiak, email: daniel@itpcas.ac.cn

Required textbook:

Earth's Climate: Past and Future by William F. Ruddiman

Reading materials:

Paleoclimatology - Reconstructing Climates of the Quaternary by Raymond S. Bradley

Objectives:

This course aims to provide students an outline of Earth’s Climate from billion years ago to present and near future. The course will discuss the climate changes at tectonic-scale, to orbital-scale, to deglacial, to historical and future.

The objectives of this course include:

1.      Learning how climate scientists solve problems;

2.      Understanding of the components of the Earth’s climate system and their feedback;

3.      Familiar with the climate changes at different time scales and their causes;

4.      Understanding of the role of CO2 in the climate systems;

5.      Understanding of the orbital monsoon hypothesis.

Preliminary schedule:

Part I: Frame of climate science, 2 lectures in 2 weeks,

Part II: Tectonic-scale climate change, 2 lectures in 2 weeks,

Part III: Orbital-scale climate change, 2 lectures in 2 weeks,

Part IV: Deglacial climate change, 2 lectures in 2 weeks,

Part V: Historical and future climate change, 2 lectures in 2 weeks,

Part VI: Final exam.

 

Course title

Functional Nanostructure: Synthesis, Characterizations and Device Applications

Credits: 2

Instructor(s)-in-charge:

Prof. Jun He, Prof. Zhixiang Wei and Prof. Liming Xie

Course type:

Lecture

Course Schedule:

4 hrs/week by instructor. 1 hr/week by teaching assistant.

Course Assessment:

Homework: 12 assignments

Grading Policy:

Typically 40% homework, 40% each midterm, 20% final.

Course Prerequisites:

Solid state physics, semiconductor physics, general chemistryphysical chemistry

Catalog Description:

This course includes three sections: inorganic semiconductor nanostructures, organics functional nanostructure and characterization of nanomaterials. The first section provides atoms-to-device introduction to the latest semiconductor quantum heterostructures. It covers nanostructures growth, their electronic, optical, and transport properties, their role in exploring new physical phenomena, and their utilization in devices. For the second part, By studying of this section, student should know the history and principles of organic electronics, understand how to use various strategies to produce organic functional nanomaterials, get the ideas how to construct useful organic electronic and optoelectronic devices, including filed effect transistors, light emitting diodes, and photovoltaics. The third provides Electron microscopic characterization of nanomaterials, Spectroscopic characterization of nanomaterials and some latest pplications of nanomaterials in nanomedicine.

 

Schedule of the course

section

content

hours

1

Basic of Low dimensional-semiconductors

4

2

Low dimensional semiconductors growth

4

3

Low dimensional semiconductor: device applications

4

4

Histories and principles of organic electronics

4

5

Preparation of organic electronic nanomaterials

4

6

Properties and applications of organic functional materials

4

7

Electron microscopic characterization of nanomaterials

4

8

Spectroscopic characterization of nanomaterials

4

9

Applications of nanomaterials in nanomedicine

4

10

Lab Tour

2

11

Exam

2

total

 

40

Contents of the course

Section 1: Low dimensional semiconductors

1.       History and principles organic electronics

(1)   History of modern physics

(2)   The origin of conducting and semiconducting properties of low dimensional semiconductor

2.       Growth technique of Low dimensional semiconductors

(1)   Molecul;ar beam epitaxy

(2)   Metal-organic Chemical Vapor Deposition

(3)   Chemical Vapor Deposition

3.       Properties and application of Low dimensional semiconductors

(1)   Opto-electronic devices

(2)   Solar and Environmental applications

(3)   Nanogenerator and others

Section 2: Organic functional materials

4.       History and principles organic electronics

(1)   History of organic electronics

(2)   The origin of conducting and semiconducting properties of organic functional materials

5.       Preparation of organic functional nanomaterials

(1)   Self-assembly of organic functional nanomaterials

(2)   Fabrication method of organic electronic devices

6.       Properties and application

(1)   organic filed effect transistors

(2)   organic light emitting diodes

(3)   organic photovoltaics

Section 3: Characterization of nanomaterials

7.       Electron microscopic (EM) characterization of nanomaterials

(1)   Introduction to transmission electron microscopy (TEM), scanning electron microscopy (SEM), electron diffraction and related techniques

(2)   Examples using electron microscopy to characterize nanomaterials (such as nanowires, quantum dots, graphene, carbon nanotubes)

(3)   By studying of this section, student will know the principle of EM and its applications in nanomaterial characterization.

8.       Spectroscopic characterization of nanomaterials

(1)   Introduction to FL, Raman and IR

(2)   Examples using FL, Raman and IR to characterize nanomaterials (such as nanowires, quantum dots, graphene, carbon nanotubes)

(3)   By studying of this section, student will know the principle of FL, Raman and IR and their application in nanomaterial characterization.

9.       Applications of nanomaterials in biomedicine

(1)   Nanomaterials as imaging probes

(2)   Nanomaterials as drug carriers

(3)   By studying of this section, student will get a brief idea about broad applications of nanomaterials in nanomedicine.

Textbook and any related course material:

Low dimensional semiconductor structures: fundamental and device applications

Edited by Keith Barnham and Dimitri Vvedensky

Organic Electronics, Materials, Processing, Electronics, and Apllications

Edited by Franky So

Characterization of Materials, edited by Elton N. Kaufmann (editor-in-chief), Wiley-Interscience.

Transmission Electron Microscopy, edited by David B. Williams and C. Barry Carter, Springer.

Principles of Fluorescence Spectroscopy, third edition, edited by Joseph R. Lakowicz, Springer.

Introductory Raman Spectroscopy, second edition, edited by John R. Ferraro, Kazuo Nakamoto and Chris W. Brown, Elsevier.

Expected level of proficiency from students entering the course:

Mathematics: strong

Physics: strong

Chemistry: strong

 

Syllabus of Spectroscopic Analysis

《波谱分析》课程教学大纲

 

NameSpectroscopic Analysis      

Course type: Basic course for chemistry or related field         

Teaching objectGraduated Students in Chemistry or related field                         

Class hour80

ProfessorXu Jingwei 徐经伟                                 

Course timeOct. 2013 to Nov. 2013

 

1) Purpose of this course

Spectroscopic analysis means the analysis of spectra that results from the interaction of radiation and samples for the determination of the characters of the samples. These characters include the chemical constitutes, contents of different components, structure and geometric isomer of the molecular, reaction mechanism and process. Spectroscopic analysis is fast, correct, sensitive and repeatable. It is wildly used in chemistry, pharmaceuticals, chemical engineering, environment, food fields and others.  The main instruments used in spectroscopic analysis are infrared (IR), Raman, NMR, UV and MS spectrometers.

The teaching objects of this course are graduate students in chemistry or related fields. By studying of this course, students should understand the principles and application of spectroscopic analysis, and are able to analyze related spectra and to obtain related information and conclusions by the analysis. This course is taught by PPT and has a final exam.

The contents of this course include principle and application of IR, Raman, NMR, UV and mass spectroscopy. The main reference books are following:

1. 徐经伟,牛利,高翔,崔勐,《波谱分析》Spectroscopic Analysis,科学出版社出版,2013  波谱分析,

2. Norman B Colthup, Lawrence H Daly and Stephen E Wierley, Introduction to Infrared and Raman Spectroscopy, Third Edition, Academic Press, San Diego, 1990.

3. K Nakanoto, Infrared and Raman Spectra of Inorganic and Coordination Coumpounds, Sixth Edition, John Wiley & Sons, New Jersey, 2009.

 

4. L A Woodward, Introduction to the Theory of Molecular Vibrations and Vibrational Spectroscopy. Oxford University Press, Ely House, London, 1972.

5. Cotter R J. Time-of-flight mass spectrometry: instrumentation and applications in biological research; ACS: Washington, DC,1997.

6. J Cavanagh, W J Fairbrother et al, Protein NMR Spectroscopy, Principles and Practice, Elsevier Inc. 2007.

7. H. GuntherHarald Gunther, Harald G NtherNMR Spectroscopy: Basic Principles, Concepts, and Applications in Chemistry2nd edJohn Wiley & Sons1995. 

8. Pretsch, E.; Bühlmann, P.; Badertscher, M. Structure Determination of Organic Compounds, 4th Edition, Berlin, Springer-Verlag, 2009

2)  Schedule of the course

section

content

hours

1

Principle of NMR1

4

2

Principle of NMR2

4

3

proton NMR spectra1

4

4

proton NMR spectra2

4

5

Carbon-13 NMR spectra1

4

6

Carbon-13 NMR spectra2

4

7

Density matrix and product operator

4

8

Two dimension NMR

4

9

Principle of IR1

4

10

Principle of IR2

4

11

Vibration of polyatomic molecules

4

12

Symmetry of molecular vibration

4

13

IR spectra of organic compounds

4

14

Raman spectroscopy

4

15

Application of Raman spectroscopy

4

16

UV spectroscopy

4

17

Mass spectroscopy1

4

18

Mass spectroscopy2

4

19

Comprehensive spectral analysis

4

20

Final exam

4

total

 

80

3) Contents of the course

Section one: Principle of NMR1

1. Introduction

2. Phenomenon of nuclear spin and nuclear magnetic resonance 

3. Boltzmann distribution and macroscopic magnetization

4. Rotating coordinate system and process of macroscopic magnetization in rotating coordinate system

5. Fourier transform

6. Pulse and free induction decay

7. Single pulse NMR experiment

By studying of section one, student should know the history of NMR, understand the concepts of nuclear moment, nuclear spin, macroscopic magnetization, grasp the principle of Fourier transform and single pulse experiment.

Section two: Principle of NMR2

  1. Quadrature detection

  2. Relaxation

2.1 Longitudinal relaxation

2.2 transverse relaxation

2.3 Determination of T2 by Spin-echo

2.4 Mechanism of relaxation

  3. Shielding factor

  4. Chemical shift

  5. Pulse Fourier transform NMR spectrometer

  By studying of section tow, student should understand the principle of quadrature detector, mechanism of relaxation, concepts of shielding factor and chemical shift, know how the spectrometer to work.

 

Section three: proton NMR spectra1

1. Some aspects of proton chemical shift 

  1.1 Inductive effects

  1.2 Magnetic anisotropy

  1.3 Ring current

  1.4 Hydrogen bond

  1.5 Solvent and others

2. Proton chemical shift of organic compounds

  2.1 Alkane

  2.2 Alkene and alkyne

  2.3 Halohydrocarbon

  2.4 Alcohol and ether

  2.5 Aromatics

  2.6 Aldehyde and carboxylic acid

  2.7 Ketone and ester

  2.8 Amine, amide and nitro compounds

  2.9 Heterocyclic compounds

By studying of section three, student should understand how the chemical shift is varied under different conditions and know the basic chemical shift range for different organic compounds.

Section four: proton NMR spectra2

1. Scalar coupling

1.1 Mechanism of coupling

1.2 2JHH , 3JHH and long-range coupling

2. Chemically equivalent and magnetically equivalent

3. Spin systems

4. Quantum mechanical treatment for coupling two spin system

5. Fist-order spectra

6. Complex spectra

Section five: Carbon-13 NMR spectra1

1. Nuclear magnetic double resonance and proton broad band decoupling

2. Overhauser effect

3. Inverse gated decoupling

4. Gated decoupling

5. Chemical shift of Carbon-13

Section six: Carbon-13 NMR spectra of organic compounds

1. Alkane

2. Alkene and alkyne

3. Halohydrocarbon

4. Alcohol and ether

5. Aromatics

6. Aldehyde and carboxylic acid

7. Ketone and ester

8. Amine, amide and nitro compounds

9. Heterocyclic compounds

Section 7: Density Matrix and product operator

1. Density Matrix

2. Liouville-von Neumann equation

3. Density matrix description of NMR experiment

  3.1 The one spin system

  3.2 The two spin system

  3.3 INEPT

4. Product operator

  4.1 Product operator description of INEPT and refocus-INEPT

  4.2 Product operator description of DEPT

Section 8: Two Dimensional NMR

1. General Aspects of 2D NMR

2. Heteronuclear Chemical Shift Correlation

3. Heteronuclear Single Quantum Correlation

4. Heteronuclear Multiple Quantum Correlation

5. Heteronuclear Multiple-Bond Correlation

6. Nuclear Overhauser Effect Spectroscopy 

7. Rotating Frame Overhauser Effect Spectroscopy

Section 9: IR Principle (1)

1. Classical Description for Diatomic Molecular Vibration

2. Quantum Description for Diatomic Molecular Vibration

  2.1 The Quantum Mechanical Harmonic Oscillator

  2.2 The Boltzmann Distribution

  2.3 The Anharmonic Oscillator

Section 10: IR Principle (2)

1. Rotating Spectra of Diatomic molecule

  1.1 Rotating Function and Energy of Diatomic molecule

  1.2 Rotating Spectra of Diatomic molecule

  1.3 Nonrigid Rotator

2. Vibrational and Rotating Spectra of Diatomic molecule

Section 11: The Theoretic Analysis of Multiple Atomic Molecular Vibration

1. Normal Modes of Vibrations

2. Normal Modes of CO2

3. Internal Coordinates and Wilson FG Matrix

Section 12: Molecular Symmetry

1. Symmetry and Point Groups

2. Matrix Representation of symmetry operations

3. Irreducible Representation and Charchter Tables

4. The Number of Fundamentals of Each type

5. Select Rules

Section 13: IR Spectra of Organic compounds

1. Alkane

2. Alkene and alkyne

3. Halohydrocarbon

4. Alcohol and ether

5. Aromatics

6. Aldehyde and carboxylic acid

7. Ketone and ester

8. Amine, amide and nitro compounds

9. Heterocyclic compounds

Section 14: Raman Spectroscopy

1. Introduction

2. Principle of Raman Spectroscopy

  2.1 Classical theory of Raman Spectroscopy

  2.2 Quantum theory of Raman Spectroscopy

  2.3 Raman Spectra and Vibrational Energy

  2.4 Selective Rule

  2.5 Comparison of Raman with IR

3. Raman Spectrometer

4. Experimental methods of Raman Spectroscopy

  4.1 Fourier Raman Spectroscopy

  4.2 Resonance Raman Scattering

  4.3 Surface Enhanced Raman Scattering

  4.4 Raman Imaging

 

Section 15: Application of Raman Spectroscopy

1. Polymers

  1.1 Structure and Conformation Analysis

  1.2 Deformation Analysis

  1.3 Liquid Crystal

2. Carbon Materials

  2.1 Graphite

  2.2 Carbon Nano-tube

  2.3 Fullerene

  2.4 Diamond

3. Biology

  3.1 Protein

  3.2 Cell

  3.3 Tissue

4. Pharmaceuticals

  4.1 Active Ingredient in Tablet and Capsule

  4.2 Crystal Structure Analysis in Pharmaceutical Preparation

  4.3 Raman Imaging for the Active Ingredient in Pharmaceutical Preparation

Section 16: UV Spectroscopy

1. Introduction

2. Energy Transition and Ultraviolet Spectrum

3. UV Spectra of Organic compounds

4. Structural Analysis by UV

Section 17: Mass Spectroscopy (1)

1. Introduction

  1.1 History of Mass Spectroscopy

  1.2 Mass Spectroscopy and Spectrometer

2. Ion Source

  2.1 Electron Ionization

  2.2 Chemical Ionization

  2.3 Field Ionization and Field Desorption

  2.4 Fast Atom Bombardment

  2.5 Matrix Assisted Laser Desorption Ionization

  2.6 Electrospray Ionization

  2.7 Desorption Electrospray Ionization

Section 18: Mass Spectroscopy (2)

1. Mass Analyzer

  1.1 Magnetic Mass Spectrometer

  1.2 Time of Flight Mass Spectrometer

  1.3 Quadrupole Mass Spectrometer

  1.4 Ion Trap Mass Spectrometer

  1.5 Fourier Transform Ion Cyclotron Resonance Mass Spectrometer

2. Tandem Mass Spectroscopy

  2.1 Space Tandem Mass Spectroscopy

  2.1 Time Tandem Mass Spectroscopy

3. Chromatography Mass Spectroscopy

  3.1 Gas Chromatography Mass Spectroscopy

  3.2 Liquid Chromatography Mass Spectroscopy

4. Fragmentation Reaction

  4.1 Basic Concepts

  4.2 Fragmentation Reaction

  4.3 Analysis of Mass Spectra

5. Application of Mass Spectroscopy

  5.1 Structural Analysis of the Small Molecule

  5.2 Sequential Analysis of the Small Peptide

  5.3 Analysis of the Polymer

Section 19: Comprehensive Spectroscopic Analysis

1. Comprehensive Analysis of Deserpidine

2. Comprehensive Analysis of Methyclothiazide

Section 20: Final Examimation

 

Data Mining

 

Instructor: Ying Liu

 

Prerequisite data structure, computer algorithms, programming, database

 

Objective

The goal of the course is to provide the students with knowledge and hands-on experience in developing data mining algorithms and applications. Firstly, the course will introduce the motivation of data mining techniques. Then, present the principles and major classic algorithms in data mining. Next, the course will introduce some successful applications to the students. Finally, advanced topics and the most recent techniques will be introduced as well.

 

Outline

 

Chapter 1: Introduction

       Motivation, major issues, major applications, characteristics

Chapter 2: Data warehouse

       Model, architecture, operations

Chapter 3: Data pre-processing

       Data cleaning, data transformation, data reduction

Chapter 4: Association Rules
      

       Apriori, FP-Growth, Partition, DIC, DHP, multi-level association rules, quantitative association rules, major applications

Chapter 5: Classification
      

       Decision tree, Bayesian Classifier, Classification by backpropagation, KNN classifier, statistical prediction models, major applications

Chapter 6: Clustering
      

       Partitioning methods, hierarchical methods, density-based methods, grid-based methods, major applications

 

Chapter 7: Applications

      

       Credit scoring, oil exploration, customer relationship management, cosmological simulation

 

Chapter 8: Advanced techniques

      

       Text mining, Web mining, sequence mining, stream mining, parallel data mining, graph mining

 

Textbook

 

Data Mining, Concepts and Techniques. Jiawei Han and Micheline Kamber, Morgan Kaufmann, 2006.

Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach and Vipin Kumar, Addison-Wesley, 2006.

 

Reference

To be announced in class

 

Applied Statistics

Course description:

This course is an introduction to applied statistics and data analysis. Topics are chosen from descriptive measures, sampling and sampling distribution, estimation and confidence interval, hypothesis test, and linear regression. Data analysis is difficult without some computing tools and the course will introduce some statistical computing with Excel.

 

References:

1.        Tamhane, Ajit C., and Dorothy D. Dunlop. Statistics and Data Analysis: From Elementary to Intermediate. Prentice Hall, 2000.

2.        Weiss, Neil A. Introductory Statistics (9th Edition). Pearson Education, Inc, 2012.

 

Instructor:

Dr. Qian Wang, email: wangqian@ucas.ac.cn, phone: 62521051.

 

Course: Input-output Analysis by Xiuli Liu

 

Date: From September 15 to November 15, 2013

Time: Monday (10:00am-11:40am) and Tuesday (10:00am-11:40am) Every week

Content

Session 1: The history and development of input-output analysis

Session 2: Foundations of Input-Output Analysis

Session 3: Production Functions and the Input-Output Model

Session 4: An Illustration of Input-Output Calculations

Session 5: Open Models and Closed Models

Session 6: The Price Model Overview

Session 7: The Price Model based on Monetary Data

Session 8: The Price Model based on Physical Data

Session 9: Input-Output Models at the Regional Level

Session 10: Many-Region Models: The Interregional Approach

Session 11: The Regional Tables

Session 12: Numerical Example: Hypothetical Two-Region Multiregional Case

Session 13: Multipliers in the Input-Output Model

Session 14: Income/Employment Multipliers

Session 15: Regional Multipliers

Session 16: Miyazawa Multipliers

Session 17: Multipliers and Elasticities

Session 18: Multiplier Decompositions

Session 19: Stone’s Additive Decomposition

Session20: Exam

 

Contact: xiuli.liu@amss.ac.cn, 15810683845

Pattern Recognition

Instructors

Dr. Wu Jian Kang, jkwu@ucas.ac.cn

Dr. Ji Lian Ying, jilianying@ucas.ac.cn

Dr. Huang Zhibei, zhphuang@ucas.ac.cn

 

Pattern recognition techniques are used to automatically classify physical objects (handwritten characters, tissue samples) or abstract multidimensional patterns (n points in d dimensions) into known or possibly unknown categories. A number of commercial pattern recognition systems are available for character recognition, handwriting recognition, document classification, fingerprint classification, speech and speaker recognition, white blood cell (leukocyte) classification, military target recognition, etc. Most machine vision systems employ pattern recognition techniques to identify objects for sorting, inspection, and assembly. The design of a pattern recognition system requires the following modules: (i) sensing, (ii) feature extraction and selection, (iii) decision making and (iv) performance evaluation. The availability of networked MEMS (low cost, high performance and miniaturized) sensors have resulted in vast amount of digitized data. Need for efficient archival and retrieval of this data has fostered the development of pattern recognition algorithms in new application domains.

This course will introduce the fundamentals of pattern recognition with application examples. Techniques for analyzing multidimensional data of various types and scales along with algorithms for projection, dimensionality reduction, clustering and classification of data will be explained. The course will present various approaches to exploratory data analysis and classifier design so students can make judicious choices when confronted with real pattern recognition problems. It is important to emphasize that the design of a complete pattern recognition system for a specific application domain requires domain knowledge, which is beyond the scope of this course.

Prerequisites

Probability and statistics, Digital signal processing, Linear systems


Text Book

Duda, Hart and Stork, Pattern Classification, Second Edition, Wiley, 2001.

 

Grading

Course grade will be assigned based on scores on 3 homework assignments, one project, and final close book exam. Weights for these three components are as follows: HW (30%), PROJECT (30%), Exam(40).

All homework solutions must reflect your own work. Failure to do so will result in a grade of 0 in the course.


Course Project

The purpose of the project is to enable the students to get some hands-on experience in the design, implementation and evaluation of pattern recognition algorithms. To facilitate the completion of the project in a semester, it is advised that students work in teams of two. You are expected to evaluate different preprocessing, feature extraction, and classification approaches to achieve as high accuracy as possible on the selected classification task.

The project report should clearly explain the objective of the study, some background work on this problem, difficulty of the classification task, choice of representation, choice of classifiers, classifier combination strategies, error rate estimation, etc. For most of the classifiers, e.g., support vector machines and neural networks, software packages are available in the public domain. Feel free to use them. Emphasis of the project is to solve a practical and interesting pattern recognition problem using the tools that you have learnt in this course. It would be instructive to see how close you can come to the state-of-the-art accuracy on this database. Use the projection algorithms to display 2- and 3-dimensional representations of the multidimensional patterns.

 

课程编号:711001Z      时:40       分:2     课程属性:学科基础课     主讲教师:罗铁坚 Luo Tiejian
英文名称:Software Development Methodology
Course syllabus:

Course objectives: (1)Evaluating software system; (2)Hands-on projects with open source;(3)Creating SNS, LMS and Intranet like Applications;(4)Enable the intelligent processing of information and add-value that can’t be delivered by other means;

You'll Learn: (1) how computing thinking take effect in developing useful software system and the ability to distinguish between good and bad Internet service ideas; (2)ability to deal with the complexity in designing and implementing your applications; (3)how to create a good software models for a specific application systems requirement; (4) how to make a assessment for a software system; (5) team working for conceiving and designing a useful application.

There two kind of audiences as following. The first category is the professional software developers building online large scale Web applications. The second category is the managers evaluating packaged software aimed at supporting online communities. We assume that students know how to write a computer program and debug it. We do not assume knowledge of any particular programming languages, standards, or protocols. The most concise statement of the course goal is to improve your way of thinking. Student would learn how to master the diversity and complexity in contemporary large scale Web applications. We promote the critical reading and thinking. Students are required to read and assimilate information from the readings beyond the material covered in class. Throughout the semester, papers and chapters of the texts will be read and discussed. Analytical writing and presentation are required. Students are asked to think critically and reason about information presented in the textbooks or papers. This critical evaluation requires that students offer their own understanding of the significance of what students have learned. Students should be able to present their knowledge to the public. The grade rules include two components: group project and individual work. The group project component has two parts: project prototype counts 25%, presentation counts 15%. The individual work component has three parts: final examination counts 30%, each homework counts 5%, final paper counts 15%.

We are going to discuss the following 6 topic or themes during the lecture time.

Chapter 1 Computing Thinking

What are the domain problems?

Problem solving process and paradigm

Value-Driven and Model Driven approach

Mapping from Requirement to Software Solutions

Computing Thinking and Basic Concepts

Data and its presentation

Algorithm and Abstraction

Chapter 2 Mastering Software Complexity

Dimension of Complexity: Requirement Change, Technology Change, Human Cognitive Level.

Abstraction Representation

Divide and Conquer approach

Coupling Models

Chapter 3 Software Models

Domain knowledge: What are the major concepts in this domain under discuss?

Induction and classification: Actors, Actions, Entities, Process or Code, Information Architecture, Web usability.

Business models and domain models: Values of the enterprise / the related system / software system, who will get what benefits from the software?

Data Models

Chapter 4 System Structure and Behavior

System Behavior

Behavior Modeling

Ontology Association

System Architecture

Chapter 5 Evaluating Model

Test methodology

Formal test

Market test

Open source model