The project combines financial management and consulting cutting-edge information to guide students to learn how to efficiently organize and analyze financial data, and use effective analysis results to help companies position themselves. The one-month project consists of 5 seminars for senior executives and professional managers, industry sharing, career planning guidance, training tasks, and task completion. The project also provides students with a comprehensive learning and practice platform. Students will learn business modules such as corporate financing, mergers and acquisitions, due diligence, and learn how to write analysis reports and use financial tools to build a barrier-free channel for students in the financial and consulting industry.
class schedule | ||
a week before the start | distribution of study materials | |
Lecture 1 | January 22, 2022, Saturday, 7-9pm | Four Career Paths & Audit and Financial Due Diligence |
Lecture 2 | January 29, 2022, Saturday, 7-9pm | What is financing mergers and acquisitions; what is included in the investment overview and business plan; introduction to valuation methods |
| Lecture 3 | February 06, 2022, Sunday, 7-9pm | The process of mergers and acquisitions, and related case studies; buyers and sellers, as well as company and job descriptions involved in the process |
| Lecture 4 | February 12, 2022, Saturday, 7-9pm | Parsing the business plan |
| Lecture 5 | February 19, 2022, Saturday, 7-9pm | Business plan roadshow and reviews |
| *For details of the course schedule, please refer to the project manual. The weekly homework takes about 5 hours to complete. | ||
Focusing on cutting-edge cross-cultural research, it is committed to exploring the meaning and value of cross-cultural research, stimulating interest in cross-cultural research, systematically learning cross-cultural research methods, and comprehensively improving the level of scientific research.
Learn and master various methods such as literature survey method, observation method, speculative method and comparative research method to improve information retrieval ability and problem analysis ability.
Focusing on the emerging discipline-intercultural communication in the context of the era of global development, explore the cultures of different countries and learn the methods and approaches of intercultural communication research.
Keeping up with the hotspots of the industry and the development trend of academia, the research content involves the survival plight of immigrant women, the construction of meaning in Chinese and Japanese feminist advertisements, and the expression and cognition of pain in Chinese and Korean love songs.
Build a knowledge system related to cross-cultural communication, cultivate the ability to use theoretical knowledge to explore and analyze practical problems, and explore the diversity of cultural integration in the era of cross-cultural communication.
Grasp social hotspots, grasp the pulse of the times, understand cutting-edge research directions, and learn scientific research methods.
| Online live broadcast (rolling throughout the year) a total of 135 class hours | ||||
Research pilot course | Recording+ Live Q&A | The interview is carried out for topic matching, 1V1 establishment of personal service files, preview and project preparation work, unlimited time | ||
Select pilot courses according to the subject and your own needs, and complete project work such as topic selection and Research Proposal | ||||
| Contents of the introductory course | Research Fundamental Courses: Covering mathematics, science, business, humanities and social sciences, learning scientific research thinking | |||
Research Methods and Tools Course: Cover 7 professional skills such as SPSS/Stata/Eviews, master research methods | ||||
Theoretical Knowledge Basic Course: Including 11 basic contents such as mathematics, biology, economics, computer, etc., supplementing theoretical knowledge | ||||
21 courses total 90 hours (The pilot class will set up 1-3 live Q&A sessions according to the difficulty of the rolling subject and the student's foundation, 2 class hours each time) | ||||
| Teaching core courses | professor | teaching assistant | writing | |
| 3 weeks in total | Subject background course 3 hours/week | Course tutoring 2 class hours/week | Thesis writing course 2 hours | |
| 3 weeks in total | Group project research 3 hours/week | Research Tutoring 2 hours/week | Thesis writing course 2 hours | |
| 7 weeks in total | Presentation of results (Presentation) 3 hours | |||
| Paper service | 4 weeks in total | Focus on answering questions for 8 class hours | ||
45 hours in total | ||||
Signal processing is a general term for processing various types of electrical signals according to various expected purposes and requirements. The processing of analog signals is called analog signal processing, and the processing of digital signals is called digital signal processing. The so-called "signal processing" is the process of processing the signal recorded on a certain medium in order to extract useful information. It is a general term for the processing of signal extraction, transformation, analysis, and synthesis.
Aiming at the problems of using hardware description language to design, this paper proposes a digital signal processor design method based on FPGA and using DSPBuilder as a design tool.
According to the design flow of Matlab/Simulink/DSP Builder/QuartusI, a 12th-order FIR low-pass digital filter is designed, and the design is verified by Quartus timing simulation and embedded logic analyzer SignalTapⅡ hardware test.
Understanding Convolutional Neural Network Algorithms
Proficient in using Matlab and DSP Builder
Understanding Finite Length Impulse Response Filters and the FPGA Design Flow
Integrate Chinese higher education resources and provide academic background activities that meet the needs of internationalization.
1v1 scientific research (project preparation→project progress→project closing) | |||
| Research Leader (8-16 hours) | 4 weeks in total | 1st interview & project matching, 1V1 establishment of service files | |
2nd to study the background knowledge of the subject and prepare for the project | |||
| Write the 3rd project research outline, choose the case and direction you want to study | |||
| 4th R/matlab/python/Spss/Stata and other application software learning courses (if the project needs to involve use) | |||
| A total of 16 class hours | |||
| Research project research (12 class hours) | 4 weeks in total | Professor's guidance (6-8 class hours) | Teaching assistant assistance (4-6 class hours) |
| Course Background Course | essay writing class | ||
| Theoretical Knowledge Course | Academic Writing | ||
| Bespoke research courses | essay outline brainstorming | ||
| Thesis framework construction | |||
| A total of 16 class hours | |||
Subject service courses (8 hours) | 4 weeks in total | Edit paper | concentrated solution |
6 hours | 2 hours | ||
| 8 hours in total | |||
*Due to the particularity of scientific research projects, the specific course plan is subject to the instructor's arrangement
Artificial Intelligence: Voice Interaction and Natural Language Processing Master the principles and technologies of NLP, master the foundation of probability theory and information theory, and learn the basic concepts and construction methods of the N-GRAM statistical language model.
Learn the fundamentals and applications of machine learning, including solutions to text classification problems.
Frontier topics in the field of artificial intelligence research, interdisciplinary research fields of arts and sciences, and application requirements that match complex subject backgrounds. Keep up with industry hotspots and academic development trends. The research content involves the recent development of current international/domestic language processing technologies, business value forecasts, etc. Popular topics.
Learn about research methods in the NLP direction. Master the research method of language model, and solve practical application problems through the practical operation of programming.
Master the theoretical basis of artificial intelligence and write innovative academic papers.
| Online live broadcast (rolling throughout the year) a total of 135 class hours | ||||
Research pilot course | Recording+ Live Q&A | The interview is carried out for topic matching, 1V1 establishment of personal service files, preview and project preparation work, unlimited time | ||
Select pilot courses according to the subject and your own needs, and complete project work such as topic selection and Research Proposal | ||||
| Contents of the introductory course | Research Fundamental Courses: Covering mathematics, science, business, humanities and social sciences, learning scientific research thinking | |||
Research Methods and Tools Course: Cover 7 professional skills such as SPSS/Stata/Eviews, master research methods | ||||
Theoretical Knowledge Basic Course: Including 11 basic contents such as mathematics, biology, economics, computer, etc., supplementing theoretical knowledge | ||||
21 courses total 90 hours (The pilot class will set up 1-3 live Q&A sessions according to the difficulty of the rolling subject and the student's foundation, 2 class hours each time) | ||||
| Teaching core courses | professor | teaching assistant | writing | |
| 3 weeks in total | Subject background course 3 hours/week | Course tutoring 2 class hours/week | Thesis writing course 2 hours | |
| 3 weeks in total | Group project research 3 hours/week | Research Tutoring 2 hours/week | Thesis writing course 2 hours | |
| 7 weeks total | Presentation of results (Presentation) 3 hours | |||
| Paper service | 4 weeks in total | Focus on answering questions for 8 class hours | ||
45 hours in total | ||||
Data modeling is a process for defining and analyzing data requirements and the corresponding supporting information systems that it needs. Therefore, in the process of data modeling, the professional data modeling work involved is closely related to the interests of the enterprise and the user's information system. There are three different types ranging from requirements to actual databases. A data model for information systems, as a conceptual data model, is essentially a set of initial specification techniques for documenting data requirements. The data is first used to discuss the initial requirements suitable for the enterprise and then transformed into a logical data model which can be implemented in a conceptual model of the data structure in the database. An implementation of a conceptual data model may require multiple logical data models. The final step in data modeling is to determine the logical data model into the physical data model to the specific requirements for data access performance and storage. Data modeling defines not only data elements, but also their structure and the relationships between them.
Statistical analysis method refers to a method of understanding and revealing the relationship between things, changing laws and development trends through the analysis and research of the quantitative relationship such as the scale, speed, scope, and degree of the research object, so as to achieve the correct interpretation and prediction of things. research method. Everything in the world has two aspects: quality and quantity. When understanding the essence of things, we must master the laws of the quantity of things. At present, mathematics has penetrated into all fields of science and technology, making science and technology increasingly quantitative, the promotion and application of electronic computing, the improvement and development of measurement design and computing technology, and the formation of quantitative research methods, which have become indispensable in natural science and social science research. research method.
This subject is guided by the professional team of the University of Chinese Academy of Sciences, learning the professional techniques of data modeling and statistical analysis, and systematically learning and writing English articles through group cooperation.
1. Tutor team
The Institute of Computing Technology of the Chinese Academy of Sciences (referred to as the Institute of Computing Technology), founded in 1956, is the first academic institution in China specializing in comprehensive research on computer science and technology. The Institute of Computing Technology successfully developed my country's first general-purpose digital electronic computer, and formed a research and development base for high-performance computers in my country. my country's first general-purpose CPU chip was also born here. For more than 60 years, the Institute of Computing Technology has made remarkable achievements in scientific research and scientific and technological achievements. As of the end of 2017, the Institute of Computing Technology has won 227 national, academy, municipal and ministerial science and technology awards, including 50 national science and technology awards (including 13 non-first completion units), and 177 academy, city and ministerial science and technology awards ( Including 15 items that are not the first completed unit). The technical service strengthens the board design service capability and gradually expands the support service for the enterprise. The research service model based on cloud computing has been explored, and a private cloud environment based on a virtualization platform, a unified storage platform, and an audio and video platform has been built, and cloud-based computing, data service capabilities, and audio and video service capabilities have been initially formed.
2、Efficient research training
This activity will be carried out in the form of basic knowledge learning + technical practice + article publishing. Before the project practice, we will organize students to learn the basic knowledge related to data modeling, read through professional literature, and then guide students to complete technical practice and handle experiments. data and write articles in English.
Different from other short-term training programs, students not only learn professional knowledge, but more importantly, they participate in the practice of the project in person, and finally get the English articles and thesis collections retrieved by CNKI to be published, which maximizes the practical effect of the activity!
3、Expert recommendation letter
Through the form of group cooperation, everyone carefully plays different research roles, training set processing, data recording, paper writing, etc. coordinate with each other, and work together to solve problems. Students who successfully pass will receive a personal recommendation letter from associate researcher and above.
4、Transcripts & Evaluation Forms
After completing the whole project, the tutor will evaluate the performance of each member of the group, and score and evaluate from the innovation points of the group project results, the completion of the homework, the discussion process, the students' learning attitude, leadership, and problem-solving ability. .
The application target majors are students in mathematics, statistics, computer, big data, data modeling, data science, data analysis, etc.
Spring Phase 1: 2021.3.15-4.15
Spring Phase 2: 2021.5.15-6.15
Summer Session 1: 2021.7.1-7.31
Summer Session 2: 2021.8.1-8.31
Autumn period 1: 9.15-10.15
Autumn second period: 11.15-12.15
Winter vacation: 2022.1.23-2.8 (remote) 2.9-2.15 (on-site) 2.16-2.22 (remote)
Remarks: 3 weeks remote + 1 week on-site during winter vacation, the on-site part is determined according to the epidemic situation
W1: Project background materials and basic theoretical knowledge
W2: Experimental Methods and Analysis Related Software
W3: Academic paper writing method study and publication course
W4: Project practice, English paper report writing
Fees include:
a. Research project fees (including tutor theoretical training fees, subject guidance fees, experimental materials fees and writing guidance fees);
b. Course research materials, course literature materials;
c. Ensure that students obtain letters of recommendation and complete thesis report writing after the course is completed;
Fees do not include:
a. Transportation, board and lodging expenses during the project period, and transportation expenses to and from the project location;
b. The page fee required for the application paper;
c. Personal consumption during the project;
Enrollment: 4-6 people
Admission requirements: Good grades in English
Online Registration
- Instructions for filling out the form:
- 1. After adding "*" is required content, please fill in completely
- 2. The Admissions Office will contact you within 2 days of receiving the application form to confirm the admission time
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