Quality management in the area of food safety (HACCP) and statistics

Free of cost

by funding

You are aware of the potential risks in the context of food safety and are familiar with the use of artificial intelligence (AI) in your professional environment. Empirical work in research and quality assurance enables you to recognize correlations and correctly classify measurement data.
  • Certificates: Certificate "Quality management in food safety (HACCP)"
    Statistics" certificate
  • Examination: Practical project work with final presentations
  • Teaching Times: Full-time
    Monday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
  • Language of Instruction: German
  • Duration: 8 Weeks

Quality management in the area of food safety (HACCP)

Introduction to general quality management (approx. 1 day)

Basics of QM

Q-methods and Q-tools


Food law (approx. 3 days)

Legal framework

EU and national hygiene law

What do food safety standards require?


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Hazard Analysis and Critical Control Points (HACCP) (approx. 3 days)

HACCP team - composition and tasks

Product description and intended use

On-site confirmation and production flow charts


Hazard analysis (approx. 4.5 days)

Methods of hazard analysis

Classification of the risk

Failure mode and effects analysis FMEA

Decision tree

Foreign bodies, genetically modified organisms (GMOs) and allergens as special risks

Process and environmental risks

Risk assessment


Setting up an HACCP concept (approx. 5.5 days)

Determining and defining the Critical Control Points (CCPs)

Determining limit values

Controlling CCPs and CPs with monitoring programs

Determine corrective measures

Documenting and verifying the HACCP system

Product liability


Project work (approx. 3 days)

To consolidate the content learned

Presentation of the project results

Statistics

Statistical basics (approx. 6 days)

Measurement theory basics (population and sample, sample types, measurement and scale levels)

Univariate descriptive statistics (frequency distributions, central measures, measures of dispersion, standard value, histograms, bar charts, pie charts, line charts and box plots)

Bivariate descriptive statistics (measures of correlation, correlation coefficients, crosstabs, scatter plots and grouped bar charts)

Basics of inductive inferential statistics (probability distribution, normal distribution, mean value distribution, significance test, Fisher's null hypothesis test, effect size, parameter estimation, confidence intervals, error bar charts, power analyses and determining the optimum sample size)


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Methods for comparing two groups (approx. 5 days)

z- and t-test for a sample (deviation from a specified value)

t-test for the mean difference between two independent/connected samples

Testing the effectiveness of actions, measures, interventions and other changes with t-tests (pretest-posttest designs with two groups)

Supporting significance tests (Anderson-Darling test, Ryan-Joiner test, Levene test, Bonnet test, significance test for correlations)

Nonparametric methods (Wilcoxon test, sign test, Mann-Whitney test)

Contingency analyses (binomial test, Fisher's exact test, chi-square test, cross-tabulations with measures of association)


Methods for comparing the means of several groups (approx. 5 days)

One- and two-factorial analysis of variance (simple and balanced ANOVA)

Multi-factorial analysis of variance (general linear model)

Fixed, random, crossed and nested factors

Multiple comparison methods (Tukey-HSD, Dunnett, Hsu-MCB, Games-Howell)

Interaction analysis (analysis of interaction effects)

Selectivity and power analysis for variance analyses


Introduction to Design of Experiments (DoE) (approx. 1 day)

Full and partial factorial experimental designs


Project work (approx. 3 days)

To consolidate the content learned

Presentation of the project results



Changes are possible. The course content is updated regularly.

You will also understand the basics of statistics, be able to process and evaluate data and present, explain and interpret statistical data analyses and results using graphics.

You will also be familiar with the potential hazards in the context of food safety and hygiene and will be able to carry out hazard analyses safely in order to avoid risks for consumers. You will also be able to create a HACCP concept to meet the legal requirements for food hygiene and standards.

The course is aimed at hygiene and quality management officers as well as specialists and managers from all areas of the food sector and industry, the convenience and retail trade as well as gastronomy and communal catering.

Users and specialists from social and market research, business administration (marketing, business intelligence), technical areas, production, quality assurance and research in the healthcare sector.

Every company that handles food commercially must have a concept in accordance with the HACCP standards. This makes people who can create such a concept and ensure its correct implementation interesting for large and medium-sized companies as well as small businesses.

A sound knowledge of statistics is a valuable additional qualification that is in great demand in industrial research and development, in drug development, in the supervision of medical studies, in finance and insurance, in information technology or in public administration.

Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.

Didactic concept

Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).

You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.

 

Virtual classroom alfaview®

Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.

 

The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.
Contact
We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.