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Crash courses and seminars

Find out the crash courses organized for the a.y. 2023/24

The following crash courses have been organized  in order to acquire or refresh your competences to successfully pass your 1st year exams.

Attendance to crash courses is not compulsory (and no ECTS credits are awarded), but warmly recommended to all students, especially for students lacking specific competence in Economics and Management subjects.

More information about the schedule and contents will be soon updated

1. International Economics

The International Economics crash course (15 hours) would like to guarantee a more effective preparation for the International Finance course. 

    2. Accounting

    The Accounting crash course (30 hours) would like to guarantee a more effective preparation for STRATEGIC MANAGEMENT ACCOUNTING (I.C.) course

    3. Data Management: 

    Advanced practically-oriented Excel course, highly requested and valued in the working environment. The crash course also aims to develop the competences required for the 2nd year elective course in "Business Intelligence"


    To take the course, it is necessary to download Office UniBo at using your UniBo account and to install the programmes Excel and Access.

    If you have a mac, you can install windows for free at the following links, then you can install Excel and Access with UniBo office

      4. Quantitative Methods

      The Quantitative Methods crash course would like to guarantee a more effective preparation for the Quantitative Methods course. In particular, the Econometrics course involves the following requirements therefore it is crucial that students without a strong quantitative background participate in the crash course to acquire or strengthen the knowledge required to successfully take the Quantitative methods course.

      Students must be familiar with the following topics before the beginning of the Econometrics course: Descriptive statistics: Averages, variance and descriptive statistics in general; Association and correlation between variables; Random sampling; Unbiasedeness and consistency and efficiency properties for the sampling average estimator; Finite sample distribution of the t statistics; Asymptotic distribution of the t-statistics (z-score); Hypothesis testing: t tests for averages., null and alternative hypothesis for one and two sided alternatives;     Decision under uncertainty: p-values and critical values; Confidence intervals; Statistical decisions through confidence intervals)

      5. Corporate Finance