1. Research Areas
- Plant Biology
- Animal Biology
- Aquatic Biology
- Cell Biology
- Biochemistry and Molecular Biology
2. Program Duration and Credit
All requirements for a Ph.D. degree generally are met within three years of admission to degree status. Extensions may be applied by the graduate and granted by Ph.D. committee of the college of life science. The maximum school years are not longer than 7 years (including the extension time).
For a Ph.D. degree, a minimum of 20 credits is required. At least 12 credits of academic courses must be included in the total credits.
3. Academic Core Courses and Introduction
As a newborn interdisciplinary field, BIOINFORMATICS presents itself along with the development of Human Genome Project (HGP) and computer science since 1990’s. Though it was based on molecular, structural biology, information theory and computer technology, the kernel of bioinformatics is research on the relation between molecular structures and functions, which relates to the collection, analyses and applications of biological information. Bioinformatics aims to reveal the complexity of genome structural information and the fundamentality disciplinarian of heredity language, and interpret heredity language of life; therefore, the developing of bioinformatics research will drive life science remarkable progress. Bioinformatics is a cutting-edge course for PhD whose specialties belong to life science. The course is tightly related with other courses, which can help students integrate knowledge. Bioinformatics is thoroughly academic, far going, rapidly developmental, easy to carry out, meanwhile the emphases of life science research in post-genomics era.
The components of modern scientific research include:
- observation of a particular event
- statement of problem
- formulation of hypothesis
- making a prediction
- design of the experiment
- statistical analyses of data
- drawing conclusions
Many of the investigations in life sciences have become quantitative, in that a great many types of environmental observations consist of numerical facts called data. As biological entities are counted or measured, it becomes apparent that some objective methods are necessary to aid the investigator in collecting, presenting, analyzing and reporting research data. Before data can be analyzed, they must be collected, and here statistical considerations can aid in the design of experiments and in the setting up of hypotheses to be tested. Thus, a basic knowledge of statistical principles and procedures and skills of using statistical software are of importance.
Seminar in Biology
The objective of this course, "seminar in biology", is to help doctoral students to obtain the ability of scientific thinking, scientific innovation, as well as to solve practical problems by exchanging and discussing each other the current progresses in their thesis research. Course is conducted in the form of weekly seminar in the laboratory or research group as a unit.
The seminar topics include:
- doctoral students report their research progress and emerging issues, and graduate students and their advisor work together to analyze the scientific significance and innovation of research progress, to find out the deficiencies of the results and methods of solutions to questions, and to determine the direction of further work;
- by recent literatures, graduates give a critical introduction of current progresses or frontier issues in biology, and discuss the scientific significance and the landmark effect of these progress or issues, and the enlightenment and application for their research work.
Progress in Biology
The objective of this course,"progress in biology", is to broaden doctoral student’s sights in biology field, bring them in the frontier of current biology research, establish their sense of innovation, improve their independent research ability. This course provide doctoral students a series of lectures by invited outstanding scientists come from all overall world who are doing frontier research and obtain innovation achievements in a hot spot or a specific area of biology. Doctoral students should exchange and discuss with speakers to create some innovation ideas or beams.
Xiaoyu Ding, Guoxiang Chen, Jianhong Li, Qinsong Xu, Guang Yang, Fei Ma, Xiaofeng Xu, Bin Li, Changfa Zhou, Wenhua Ren, Jiaxin Yang, Shaowu Yin, Wen Wang, Chang Liu，Zhao Zhang, Fuliang Du, Xiangrong Cao, Huqun Chen, Zhigang Guo, Sheng Yuan, Lin Lu, Chuanchao Dai, Yijun Dai, Ying Huang, Shuanglin Chen, Zhimin Yin, Long Chen, Ping Liu.