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- JAQM - Journal of Applied Quantitative Methods
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Home | Applied Quantitative Methods
We aim to publish well-written readable articles with appeal to scholars and practitioners in the field of quantitative methods. We particularly encourage new and first-time authors. The Journal of Applied Quantitative Methods is a quarterly publication published in March, June, September and December of each year.
:Applied Quantitative Methods for Trading and
Project - The project in this course may span a wide range of potential topics and for all students will include an evaluation of contributed code and oral presentation. Graduate students will also contribute a scientific paper on the project topic. More information on the project assignments can be found on the Projects page.
JAQM - Journal of Applied Quantitative Methods
The programme will be a considerable asset to postgraduates wishing to pursue a career involving quantitative research skills within a diverse range of organisations including within:
Applied quantitative methods - My Nursing Paper
Assignments - Most weeks during the first half of the semester there will be a homework assignment associated with the content learned in lecture. Your code and a written explanation of your solution are required. Although I encourage collaboration on code development, your explanation of your solution should be written in your own words. The assignment should be submitted via a your personal github page. One problem from each assignment (selected at my discretion after the assignments have been submitted) will receive a thorough code review and a detailed grade. Other problems will be graded as follows:
Papers will be reviewed using a double-blind review process. Names of author(s) should appear only on the title page. Authors should not identify themselves or their institution elsewhere in the paper.
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This course is a three hour seminar for advanced undergraduate and graduate students. The goals of the course are to develop students’ knowledge of more advanced and applied topics in statistical analysis, as well as, provide students the opportunity to apply these methods to their own research projects.
We work with over 75 partners across Greater Manchester to provide students with placements across diverse sectors. For more information on placement opportunities, please visit our Q-step website .
This unit is designed to give you an introduction to the theory and application of multi-level models. The main aim of the unit is to provide you with the necessary conceptual understanding and practical skills to be able to undertake report and interpret a multi-level linear model analysis through hands on practical sessions in labs, using SPSS/Stata/MLwiN statistical software package.
A highly quantitative, rigorous 65 month data science training program designed for graduates, postgraduates and experienced professionals interested in making the transition to data science.
Central to any quantitative analysis is data, and as such, data requires careful management. This unit will provide you with all the necessary knowledge and skills to competently manage data in a range of settings.
Class time - Our time in class will be used primarily for 6) learning new quantitative methods, 7) working on exercises, 8) presenting to the rest of the class, and 9) developing student projects.